Archestra MCP Server

56 min read

The Archestra MCP Server is a built-in MCP server that ships with the platform and requires no installation. It exposes tools for managing platform resources such as agents, MCP servers, policies, and limits.

Most tools require explicit assignment to Agents or MCP Gateways before they can be used. The following tools are pre-installed on all new agents by default: artifact_write, todo_write.

Additionally, query_knowledge_sources is automatically assigned to Agents and MCP Gateways that have at least one knowledge base or knowledge connector attached.

All Archestra tools are prefixed with archestra__ and are always trusted — they bypass tool invocation and trusted data policies.

Auth

Archestra tools are trusted, meaning they bypass tool invocation policies and trusted data policies — the tool will always execute without policy evaluation.

However, RBAC (role-based access control) is still enforced. Every tool is mapped to a required permission (resource + action). The tools/list endpoint dynamically filters tools so users only see tools they have permission to use. For example, a user without knowledgeBase:create permission will not see create_knowledge_base in their tool list and cannot execute it.

Tools Reference

Identity

ToolDescription
whoamiReturns the name and ID of the current agent.

whoami

This tool takes no arguments.

Output
FieldTypeRequiredDescription
agentIdstringYesThe ID of the current agent.
agentNamestringYesThe display name of the current agent.

Agents

ToolDescription
create_agentCreate a new agent with the specified name, optional description, labels, prompts, icon emoji, MCP server tool assignments, and sub-agent delegations.
get_agentGet a specific agent by ID or name.
list_agentsList agents with optional filtering by name and scope.
edit_agentEdit an existing agent.

create_agent

Input
ParameterTypeRequiredDescription
namestringYesName for the new resource.
scope"personal" | "team" | "org"NoVisibility scope. Defaults to personal for agents and org for LLM proxies/MCP gateways unless teams are provided.
labelsobject[]NoOptional key-value labels for organization and categorization.
labels[].keystringYes
labels[].valuestringYes
teamsstring[]NoTeam IDs to attach when creating a team-scoped resource.
descriptionanyNoOptional human-readable description of the agent.
iconanyNoOptional emoji icon for the agent.
knowledgeBaseIdsstring[]NoKnowledge base IDs to assign to the agent. Use get_knowledge_bases first when you need to look up IDs by name.
connectorIdsstring[]NoKnowledge connector IDs to assign directly to the agent. Use get_knowledge_connectors first when you need to look up IDs by name.
mcpServerIdsstring[]NoCatalog item IDs from get_mcp_servers whose tools should be assigned to the agent.
subAgentIdsstring[]NoAgent IDs to delegate to from this newly created agent.
suggestedPromptsobject[]NoOptional suggested prompts that appear in the chat UI.
suggestedPrompts[].summaryTitlestringYesShort title shown to users for this suggested prompt.
suggestedPrompts[].promptstringYesSuggested prompt text users can click to start a conversation.
systemPromptanyNoThe system prompt that defines the agent's behavior.
toolAssignmentsobject[]NoExplicit tool assignments to create immediately after the agent is created.
toolAssignments[].toolIdstringYesThe ID of the tool to assign to the agent.
toolAssignments[].credentialSourceMcpServerIdanyNoFor remote MCP tools, the deployed MCP server ID that should supply credentials.
toolAssignments[].executionSourceMcpServerIdanyNoFor local MCP tools, the deployed MCP server ID that should execute the tool.
toolAssignments[].useDynamicTeamCredentialbooleanNoWhen true, resolve credentials dynamically from the invoking team instead of pinning a deployment.

get_agent

Input
ParameterTypeRequiredDescription
idstringNoThe ID of the agent to fetch. Prefer the ID when you already have it.
namestringNoThe exact name of the agent to fetch when you do not already have the ID.
Output
FieldTypeRequiredDescription
idstringYesThe resource ID.
namestringYesThe resource name.
descriptionanyYesThe resource description, if any.
iconanyYesThe emoji icon, if configured.
scope"personal" | "team" | "org"YesThe visibility scope.
agentType"agent" | "llm_proxy" | "mcp_gateway" | "profile"YesThe resource type.
systemPromptanyNo
teamsobject[]YesThe teams attached to it.
teams[].idstringYesThe team ID.
teams[].namestringYesThe team name.
labelsobject[]YesAssigned labels.
labels[].keystringYesThe label key.
labels[].valuestringYesThe label value.
toolsobject[]YesAssigned tools.
tools[].idstringYesThe assigned tool ID.
tools[].namestringYesThe tool name.
tools[].descriptionanyYesThe tool description, if any.
tools[].catalogIdanyYesThe MCP catalog ID the tool comes from, if any.
knowledgeBaseIdsstring[]YesAssigned knowledge base IDs.
connectorIdsstring[]YesAssigned knowledge connector IDs.
suggestedPromptsobject[]YesConfigured suggested prompts.
suggestedPrompts[].summaryTitlestringYesThe short title shown in the chat UI.
suggestedPrompts[].promptstringYesThe suggested prompt text.

list_agents

Input
ParameterTypeRequiredDescription
limitintegerNoMaximum number of agents to return.
namestringNoOptional agent name filter. Use this when the user names an agent but you still need to look up the ID.
scope"personal" | "team" | "org"NoOptional scope filter: personal, team, or org.
Output
FieldTypeRequiredDescription
totalnumberYesThe total number of matching agents.
agentsobject[]Yes
agents[].idstringYesThe agent ID.
agents[].namestringYesThe agent name.
agents[].scope"personal" | "team" | "org"YesThe agent scope.
agents[].descriptionanyYesThe agent description, if any.
agents[].teamsobject[]YesTeams attached to it.
agents[].teams[].idstringYesThe team ID.
agents[].teams[].namestringYesThe team name.
agents[].labelsobject[]YesAssigned labels.
agents[].labels[].keystringYesThe label key.
agents[].labels[].valuestringYesThe label value.
agents[].toolsobject[]Yes
agents[].tools[].namestringYesThe tool name.
agents[].tools[].descriptionanyYesThe tool description, if any.
agents[].knowledgeSourcesobject[]YesAssigned knowledge bases and connectors.
agents[].knowledgeSources[].namestringYesThe knowledge source name.
agents[].knowledgeSources[].descriptionanyYesThe knowledge source description, if any.
agents[].knowledgeSources[].type"knowledge_base" | "knowledge_connector"YesWhether this source is a knowledge base or connector.

edit_agent

Input
ParameterTypeRequiredDescription
idstringYesThe ID of the agent to edit. Use get_agent or list_agents to look it up by name.
mcpServerIdsstring[]NoCatalog item IDs from get_mcp_servers whose tools should be added to the agent.
subAgentIdsstring[]NoAgent IDs to add as delegation targets.
toolAssignmentsobject[]NoExplicit tool assignments to add or update on the agent.
toolAssignments[].toolIdstringYesThe ID of the tool to assign to the agent.
toolAssignments[].credentialSourceMcpServerIdanyNoFor remote MCP tools, the deployed MCP server ID that should supply credentials.
toolAssignments[].executionSourceMcpServerIdanyNoFor local MCP tools, the deployed MCP server ID that should execute the tool.
toolAssignments[].useDynamicTeamCredentialbooleanNoWhen true, resolve credentials dynamically from the invoking team instead of pinning a deployment.
descriptionanyNoNew description for the agent.
iconanyNoNew emoji icon for the agent.
knowledgeBaseIdsstring[]NoReplace the agent's assigned knowledge bases with this set.
labelsobject[]NoReplace the agent's labels with this set.
labels[].keystringYes
labels[].valuestringYes
namestringNoNew name for the agent.
connectorIdsstring[]NoReplace the agent's directly assigned knowledge connectors with this set.
scope"personal" | "team" | "org"NoUpdated visibility scope for the agent.
suggestedPromptsobject[]NoReplace the agent's suggested prompts.
suggestedPrompts[].summaryTitlestringYesShort title shown to users for this suggested prompt.
suggestedPrompts[].promptstringYesSuggested prompt text users can click to start a conversation.
systemPromptanyNoNew system prompt for the agent.
teamsstring[]NoReplace the teams attached to a team-scoped agent.

LLM Proxies

ToolDescription
create_llm_proxyCreate a new LLM proxy with the specified name and optional labels.
get_llm_proxyGet a specific LLM proxy by ID or name.
edit_llm_proxyEdit an existing LLM proxy.

create_llm_proxy

Input
ParameterTypeRequiredDescription
namestringYesName for the new resource.
scope"personal" | "team" | "org"NoVisibility scope. Defaults to personal for agents and org for LLM proxies/MCP gateways unless teams are provided.
labelsobject[]NoOptional key-value labels for organization and categorization.
labels[].keystringYes
labels[].valuestringYes
teamsstring[]NoTeam IDs to attach when creating a team-scoped resource.

get_llm_proxy

Input
ParameterTypeRequiredDescription
idstringNoThe ID of the LLM proxy to fetch. Prefer the ID when you already have it.
namestringNoThe exact name of the LLM proxy to fetch when you do not already have the ID.
Output
FieldTypeRequiredDescription
idstringYesThe resource ID.
namestringYesThe resource name.
descriptionanyYesThe resource description, if any.
iconanyYesThe emoji icon, if configured.
scope"personal" | "team" | "org"YesThe visibility scope.
agentType"agent" | "llm_proxy" | "mcp_gateway" | "profile"YesThe resource type.
systemPromptanyNo
teamsobject[]YesThe teams attached to it.
teams[].idstringYesThe team ID.
teams[].namestringYesThe team name.
labelsobject[]YesAssigned labels.
labels[].keystringYesThe label key.
labels[].valuestringYesThe label value.
toolsobject[]YesAssigned tools.
tools[].idstringYesThe assigned tool ID.
tools[].namestringYesThe tool name.
tools[].descriptionanyYesThe tool description, if any.
tools[].catalogIdanyYesThe MCP catalog ID the tool comes from, if any.
knowledgeBaseIdsstring[]YesAssigned knowledge base IDs.
connectorIdsstring[]YesAssigned knowledge connector IDs.
suggestedPromptsobject[]YesConfigured suggested prompts.
suggestedPrompts[].summaryTitlestringYesThe short title shown in the chat UI.
suggestedPrompts[].promptstringYesThe suggested prompt text.

edit_llm_proxy

Input
ParameterTypeRequiredDescription
idstringYesThe ID of the LLM proxy to edit. Use get_llm_proxy to look it up by name first if needed.
descriptionanyNoNew description for the LLM proxy.
iconanyNoNew emoji icon for the LLM proxy.
labelsobject[]NoReplace the LLM proxy's labels with this set.
labels[].keystringYes
labels[].valuestringYes
namestringNoNew name for the LLM proxy.
scope"personal" | "team" | "org"NoUpdated visibility scope for the LLM proxy.
teamsstring[]NoReplace the teams attached to a team-scoped LLM proxy.

MCP Gateways

ToolDescription
create_mcp_gatewayCreate a new MCP gateway with the specified name, optional labels, and optional assigned knowledge bases or knowledge connectors.
get_mcp_gatewayGet a specific MCP gateway by ID or name.
edit_mcp_gatewayEdit an existing MCP gateway.

create_mcp_gateway

Input
ParameterTypeRequiredDescription
namestringYesName for the new resource.
scope"personal" | "team" | "org"NoVisibility scope. Defaults to personal for agents and org for LLM proxies/MCP gateways unless teams are provided.
labelsobject[]NoOptional key-value labels for organization and categorization.
labels[].keystringYes
labels[].valuestringYes
teamsstring[]NoTeam IDs to attach when creating a team-scoped resource.
knowledgeBaseIdsstring[]NoKnowledge base IDs to assign to the agent. Use get_knowledge_bases first when you need to look up IDs by name.
connectorIdsstring[]NoKnowledge connector IDs to assign directly to the agent. Use get_knowledge_connectors first when you need to look up IDs by name.

get_mcp_gateway

Input
ParameterTypeRequiredDescription
idstringNoThe ID of the MCP gateway to fetch. Prefer the ID when you already have it.
namestringNoThe exact name of the MCP gateway to fetch when you do not already have the ID.
Output
FieldTypeRequiredDescription
idstringYesThe resource ID.
namestringYesThe resource name.
descriptionanyYesThe resource description, if any.
iconanyYesThe emoji icon, if configured.
scope"personal" | "team" | "org"YesThe visibility scope.
agentType"agent" | "llm_proxy" | "mcp_gateway" | "profile"YesThe resource type.
systemPromptanyNo
teamsobject[]YesThe teams attached to it.
teams[].idstringYesThe team ID.
teams[].namestringYesThe team name.
labelsobject[]YesAssigned labels.
labels[].keystringYesThe label key.
labels[].valuestringYesThe label value.
toolsobject[]YesAssigned tools.
tools[].idstringYesThe assigned tool ID.
tools[].namestringYesThe tool name.
tools[].descriptionanyYesThe tool description, if any.
tools[].catalogIdanyYesThe MCP catalog ID the tool comes from, if any.
knowledgeBaseIdsstring[]YesAssigned knowledge base IDs.
connectorIdsstring[]YesAssigned knowledge connector IDs.
suggestedPromptsobject[]YesConfigured suggested prompts.
suggestedPrompts[].summaryTitlestringYesThe short title shown in the chat UI.
suggestedPrompts[].promptstringYesThe suggested prompt text.

edit_mcp_gateway

Input
ParameterTypeRequiredDescription
idstringYesThe ID of the MCP gateway to edit. Use get_mcp_gateway to look it up by name first if needed.
descriptionanyNoNew description for the MCP gateway.
iconanyNoNew emoji icon for the MCP gateway.
labelsobject[]NoReplace the MCP gateway's labels with this set.
labels[].keystringYes
labels[].valuestringYes
namestringNoNew name for the MCP gateway.
scope"personal" | "team" | "org"NoUpdated visibility scope for the MCP gateway.
teamsstring[]NoReplace the teams attached to a team-scoped MCP gateway.
knowledgeBaseIdsstring[]NoReplace the MCP gateway's assigned knowledge bases with this set.
connectorIdsstring[]NoReplace the MCP gateway's directly assigned knowledge connectors with this set.

MCP Servers

ToolDescription
search_private_mcp_registrySearch the private MCP registry for available MCP servers.
get_mcp_serversList all MCP servers from the catalog.
get_mcp_server_toolsGet all tools available for a specific MCP server by its catalog ID (from get_mcp_servers).
edit_mcp_descriptionEdit an MCP server's display information and metadata.
edit_mcp_configEdit an MCP server's technical configuration.
create_mcp_serverCreate a new MCP server in the private registry.
deploy_mcp_serverDeploy (install) an MCP server from the catalog.
list_mcp_server_deploymentsList all deployed (installed) MCP server instances accessible to the current user.
get_mcp_server_logsGet recent container logs from a deployed local (K8s) MCP server.
create_mcp_server_installation_requestAllows users from within the Archestra Platform chat UI to submit a request for an MCP server to be added to their Archestra Platform's internal MCP server registry.

search_private_mcp_registry

Input
ParameterTypeRequiredDescription
querystringNoOptional search query to filter MCP servers by name or description.
Output
FieldTypeRequiredDescription
itemsobject[]YesCatalog items matching the search.
items[].idstringYesThe catalog item ID.
items[].namestringYesThe MCP server name.
items[].versionanyYesThe version, if provided.
items[].descriptionanyYesThe server description, if any.
items[].serverType"local" | "remote" | "builtin"YesWhether the server is local, remote, or builtin.
items[].serverUrlanyYesThe remote server URL, if applicable.
items[].repositoryanyYesThe repository URL, if available.

get_mcp_servers

This tool takes no arguments.

Output
FieldTypeRequiredDescription
itemsobject[]YesAvailable MCP servers.
items[].idstringYesThe catalog item ID.
items[].namestringYesThe MCP server name.
items[].iconanyYesThe emoji icon, if any.
items[].descriptionanyYesThe server description, if any.
items[].scope"personal" | "team" | "org"NoThe visibility scope of the server.
items[].teamsobject[]YesTeams attached to a team-scoped server.
items[].teams[].idstringYesThe team ID.
items[].teams[].namestringYesThe team name.

get_mcp_server_tools

Input
ParameterTypeRequiredDescription
mcpServerIdstringYesThe catalog ID of the MCP server.
Output
FieldTypeRequiredDescription
toolsobject[]YesTools exposed by the selected MCP server.
tools[].idstringYesThe tool ID.
tools[].namestringYesThe tool name.
tools[].descriptionanyNoThe tool description, if any.
tools[].catalogIdanyNoThe MCP catalog ID this tool belongs to.

edit_mcp_description

Input
ParameterTypeRequiredDescription
idstringYesThe catalog ID of the MCP server to edit. Use get_mcp_servers to look it up by name.
namestringNoDisplay name for the MCP server.
descriptionanyNoDescription of the MCP server.
iconanyNoEmoji icon for the MCP server.
docsUrlanyNoDocumentation URL.
repositoryanyNoSource code repository URL.
versionanyNoVersion string.
instructionsanyNoSetup or usage instructions.
scope"personal" | "team" | "org"NoVisibility scope.
labelsobject[]NoKey-value labels for organization/categorization.
labels[].keystringYesLabel key.
labels[].valuestringYesLabel value.
teamsstring[]NoTeam IDs for team-scoped access control.

edit_mcp_config

Input
ParameterTypeRequiredDescription
idstringYesThe catalog ID of the MCP server to edit. Use get_mcp_servers to look it up by name.
serverType"local" | "remote" | "builtin"NoServer type: local, remote, or builtin.
serverUrlanyNo[Remote] The URL of the remote MCP server.
requiresAuthbooleanNo[Remote] Whether the server requires authentication.
authDescriptionanyNo[Remote] How to set up authentication.
authFieldsobject[]No[Remote] Authentication field definitions.
authFields[].namestringYesAuth field name.
authFields[].labelstringYesHuman-readable auth field label.
authFields[].type"header" | "query" | "cookie"YesWhere to send this auth field.
authFields[].secretbooleanYesWhether this field contains secret data.
oauthConfigobjectNo[Remote] OAuth configuration for the server.
commandstringNo[Local] Command to run (for example npx, uvx, or node).
argumentsstring[]No[Local] Command-line arguments.
environmentobject[]No[Local] Environment variables for the server process.
environment[].keystringYesEnvironment variable name.
environment[].type"plain_text" | "secret" | "boolean" | "number"YesEnvironment variable value type.
environment[].valuestringNoLiteral environment variable value.
environment[].promptOnInstallationbooleanYesWhether to prompt for this value during installation.
environment[].requiredbooleanNoWhether the value is required.
environment[].descriptionstringNoDescription shown to users.
environment[].defaultanyNoDefault value.
environment[].mountedbooleanNoFor secret values, mount as a file instead of an env var.
envFromobject[]No[Local] Import env vars from Kubernetes Secrets or ConfigMaps.
envFrom[].type"secret" | "configMap"YesImport source type.
envFrom[].namestringYesSecret or ConfigMap name.
envFrom[].prefixstringNoOptional environment variable prefix.
dockerImagestringNo[Local] Custom Docker image.
serviceAccountstringNo[Local] Kubernetes ServiceAccount name.
transportType"stdio" | "streamable-http"No[Local] Transport type.
httpPortnumberNo[Local] HTTP port for streamable-http transport.
httpPathstringNo[Local] HTTP path for streamable-http transport.
nodePortnumberNo[Local] Kubernetes NodePort for local development.
imagePullSecretsobject[]No[Local] Image pull secrets for private registries.
imagePullSecrets[].source"existing"YesImage pull secret source.
imagePullSecrets[].namestringYesExisting Kubernetes secret name.
deploymentSpecYamlstringNo[Local] Custom Kubernetes deployment YAML override.
installationCommandstringNo[Local] Command to install the MCP server package.
userConfigobjectNoUser-configurable fields shown during installation.

create_mcp_server

Input
ParameterTypeRequiredDescription
namestringYesDisplay name for the MCP server.
descriptionanyNoDescription of the MCP server.
iconanyNoEmoji icon for the MCP server.
docsUrlanyNoDocumentation URL.
repositoryanyNoSource code repository URL.
versionanyNoVersion string.
instructionsanyNoSetup or usage instructions.
scope"personal" | "team" | "org"NoVisibility scope.
labelsobject[]NoKey-value labels for organization/categorization.
labels[].keystringYesLabel key.
labels[].valuestringYesLabel value.
teamsstring[]NoTeam IDs for team-scoped access control.
serverType"local" | "remote" | "builtin"NoServer type: local, remote, or builtin.
serverUrlanyNo[Remote] The URL of the remote MCP server.
requiresAuthbooleanNo[Remote] Whether the server requires authentication.
authDescriptionanyNo[Remote] How to set up authentication.
authFieldsobject[]No[Remote] Authentication field definitions.
authFields[].namestringYesAuth field name.
authFields[].labelstringYesHuman-readable auth field label.
authFields[].type"header" | "query" | "cookie"YesWhere to send this auth field.
authFields[].secretbooleanYesWhether this field contains secret data.
oauthConfigobjectNo[Remote] OAuth configuration for the server.
commandstringNo[Local] Command to run (for example npx, uvx, or node).
argumentsstring[]No[Local] Command-line arguments.
environmentobject[]No[Local] Environment variables for the server process.
environment[].keystringYesEnvironment variable name.
environment[].type"plain_text" | "secret" | "boolean" | "number"YesEnvironment variable value type.
environment[].valuestringNoLiteral environment variable value.
environment[].promptOnInstallationbooleanYesWhether to prompt for this value during installation.
environment[].requiredbooleanNoWhether the value is required.
environment[].descriptionstringNoDescription shown to users.
environment[].defaultanyNoDefault value.
environment[].mountedbooleanNoFor secret values, mount as a file instead of an env var.
envFromobject[]No[Local] Import env vars from Kubernetes Secrets or ConfigMaps.
envFrom[].type"secret" | "configMap"YesImport source type.
envFrom[].namestringYesSecret or ConfigMap name.
envFrom[].prefixstringNoOptional environment variable prefix.
dockerImagestringNo[Local] Custom Docker image.
serviceAccountstringNo[Local] Kubernetes ServiceAccount name.
transportType"stdio" | "streamable-http"No[Local] Transport type.
httpPortnumberNo[Local] HTTP port for streamable-http transport.
httpPathstringNo[Local] HTTP path for streamable-http transport.
nodePortnumberNo[Local] Kubernetes NodePort for local development.
imagePullSecretsobject[]No[Local] Image pull secrets for private registries.
imagePullSecrets[].source"existing"YesImage pull secret source.
imagePullSecrets[].namestringYesExisting Kubernetes secret name.
deploymentSpecYamlstringNo[Local] Custom Kubernetes deployment YAML override.
installationCommandstringNo[Local] Command to install the MCP server package.
userConfigobjectNoUser-configurable fields shown during installation.

deploy_mcp_server

Input
ParameterTypeRequiredDescription
catalogIdstringYesThe catalog ID of the MCP server to deploy.
teamIdstringNoOptional team ID for a team-scoped deployment.
agentIdsstring[]NoOptional agent IDs to assign the server's tools to after deployment.

list_mcp_server_deployments

This tool takes no arguments.

get_mcp_server_logs

Input
ParameterTypeRequiredDescription
serverIdstringYesThe deployment ID of the MCP server.
linesintegerNoNumber of log lines to retrieve.

create_mcp_server_installation_request

This tool takes no arguments.

Limits

ToolDescription
create_limitCreate a new cost or usage limit for an organization, team, agent, LLM proxy, or MCP gateway.
get_limitsRetrieve all limits, optionally filtered by entity type and/or entity ID.
update_limitUpdate mutable fields on an existing limit.
delete_limitDelete an existing limit by ID.
get_agent_token_usageGet the total token usage (input and output) for a specific agent.
get_llm_proxy_token_usageGet the total token usage (input and output) for a specific LLM proxy.

create_limit

Input
ParameterTypeRequiredDescription
entity_type"organization" | "team" | "agent"YesThe type of entity to apply the limit to.
entity_idstringYesThe ID of the entity (organization, team, or agent).
limit_type"token_cost" | "mcp_server_calls" | "tool_calls"YesThe type of limit to apply.
limit_valuenumberYesThe limit value (tokens or count depending on limit type).
modelstring[]NoArray of model names. Required for token_cost limits.
mcp_server_namestringNoMCP server name. Required for mcp_server_calls and tool_calls limits.
tool_namestringNoTool name. Required for tool_calls limits.
Output
FieldTypeRequiredDescription
limitobjectYes
limit.idstringYesThe limit ID.
limit.entityType"organization" | "team" | "agent"YesThe limited entity type.
limit.entityIdstringYesThe limited entity ID.
limit.limitType"token_cost" | "mcp_server_calls" | "tool_calls"YesThe kind of limit.
limit.limitValuenumberYesThe configured limit value.
limit.modelanyNoModels targeted by a token_cost limit, if any.
limit.mcpServerNameanyNoMCP server name for MCP-specific limits, if any.
limit.toolNameanyNoTool name for tool-specific limits, if any.

get_limits

Input
ParameterTypeRequiredDescription
entity_type"organization" | "team" | "agent"NoOptional filter by entity type.
entity_idstringNoOptional filter by entity ID.
Output
FieldTypeRequiredDescription
limitsobject[]Yes
limits[].idstringYesThe limit ID.
limits[].entityType"organization" | "team" | "agent"YesThe limited entity type.
limits[].entityIdstringYesThe limited entity ID.
limits[].limitType"token_cost" | "mcp_server_calls" | "tool_calls"YesThe kind of limit.
limits[].limitValuenumberYesThe configured limit value.
limits[].modelanyNoModels targeted by a token_cost limit, if any.
limits[].mcpServerNameanyNoMCP server name for MCP-specific limits, if any.
limits[].toolNameanyNoTool name for tool-specific limits, if any.

update_limit

Input
ParameterTypeRequiredDescription
idstringYesThe ID of the limit to update.
limit_valuenumberNoOptional new limit value.
Output
FieldTypeRequiredDescription
limitobjectYes
limit.idstringYesThe limit ID.
limit.entityType"organization" | "team" | "agent"YesThe limited entity type.
limit.entityIdstringYesThe limited entity ID.
limit.limitType"token_cost" | "mcp_server_calls" | "tool_calls"YesThe kind of limit.
limit.limitValuenumberYesThe configured limit value.
limit.modelanyNoModels targeted by a token_cost limit, if any.
limit.mcpServerNameanyNoMCP server name for MCP-specific limits, if any.
limit.toolNameanyNoTool name for tool-specific limits, if any.

delete_limit

Input
ParameterTypeRequiredDescription
idstringYesThe ID of the limit to delete.
Output
FieldTypeRequiredDescription
successbooleanYes
idstringYes

get_agent_token_usage

Input
ParameterTypeRequiredDescription
idstringNoOptional agent ID. Defaults to the current agent.
Output
FieldTypeRequiredDescription
idstringYes
totalInputTokensnumberYes
totalOutputTokensnumberYes
totalTokensnumberYes

get_llm_proxy_token_usage

Input
ParameterTypeRequiredDescription
idstringNoOptional LLM proxy ID. Defaults to the current agent.
Output
FieldTypeRequiredDescription
idstringYes
totalInputTokensnumberYes
totalOutputTokensnumberYes
totalTokensnumberYes

Policies

ToolDescription
get_autonomy_policy_operatorsGet all supported policy operators with their human-readable labels
get_tool_invocation_policiesGet all tool invocation policies
create_tool_invocation_policyCreate a new tool invocation policy
get_tool_invocation_policyGet a specific tool invocation policy by ID
update_tool_invocation_policyUpdate a tool invocation policy
delete_tool_invocation_policyDelete a tool invocation policy by ID
get_trusted_data_policiesGet all trusted data policies
create_trusted_data_policyCreate a new trusted data policy
get_trusted_data_policyGet a specific trusted data policy by ID
update_trusted_data_policyUpdate a trusted data policy
delete_trusted_data_policyDelete a trusted data policy by ID

get_autonomy_policy_operators

This tool takes no arguments.

Output
FieldTypeRequiredDescription
operatorsobject[]YesSupported autonomy policy operators.
operators[].value"equal" | "notEqual" | "contains" | "notContains" | "startsWith" | "endsWith" | "regex"YesThe operator enum value.
operators[].labelstringYesThe human-readable label.

get_tool_invocation_policies

This tool takes no arguments.

Output
FieldTypeRequiredDescription
policiesobject[]YesTool invocation policies.
policies[].idstringYesThe policy ID.
policies[].toolIdstringYesThe tool ID this policy targets.
policies[].conditionsobject[]YesConditions evaluated for the policy.
policies[].conditions[].keystringYesThe evaluated argument or context key.
policies[].conditions[].operator"equal" | "notEqual" | "contains" | "notContains" | "startsWith" | "endsWith" | "regex"YesThe comparison operator.
policies[].conditions[].valuestringYesThe comparison value.
policies[].action"allow_when_context_is_untrusted" | "block_when_context_is_untrusted" | "block_always" | "require_approval"YesThe policy action.
policies[].reasonanyYesThe policy reason, if any.

create_tool_invocation_policy

Input
ParameterTypeRequiredDescription
toolIdstringYesThe ID of the tool (UUID from the tools table).
conditionsobject[]YesArray of conditions that must all match. Empty array means unconditional.
conditions[].keystringYesThe argument name or context path to evaluate (for example url or context.externalAgentId).
conditions[].operator"equal" | "notEqual" | "contains" | "notContains" | "startsWith" | "endsWith" | "regex"YesThe comparison operator.
conditions[].valuestringYesThe value to compare against.
action"allow_when_context_is_untrusted" | "block_when_context_is_untrusted" | "block_always" | "require_approval"YesThe action to take when the policy matches.
reasonstringNoHuman-readable explanation for why this policy exists.
Output
FieldTypeRequiredDescription
policyobjectYesThe requested tool invocation policy.
policy.idstringYesThe policy ID.
policy.toolIdstringYesThe tool ID this policy targets.
policy.conditionsobject[]YesConditions evaluated for the policy.
policy.conditions[].keystringYesThe evaluated argument or context key.
policy.conditions[].operator"equal" | "notEqual" | "contains" | "notContains" | "startsWith" | "endsWith" | "regex"YesThe comparison operator.
policy.conditions[].valuestringYesThe comparison value.
policy.action"allow_when_context_is_untrusted" | "block_when_context_is_untrusted" | "block_always" | "require_approval"YesThe policy action.
policy.reasonanyYesThe policy reason, if any.

get_tool_invocation_policy

Input
ParameterTypeRequiredDescription
idstringYesThe ID of the tool invocation policy.
Output
FieldTypeRequiredDescription
policyobjectYesThe requested tool invocation policy.
policy.idstringYesThe policy ID.
policy.toolIdstringYesThe tool ID this policy targets.
policy.conditionsobject[]YesConditions evaluated for the policy.
policy.conditions[].keystringYesThe evaluated argument or context key.
policy.conditions[].operator"equal" | "notEqual" | "contains" | "notContains" | "startsWith" | "endsWith" | "regex"YesThe comparison operator.
policy.conditions[].valuestringYesThe comparison value.
policy.action"allow_when_context_is_untrusted" | "block_when_context_is_untrusted" | "block_always" | "require_approval"YesThe policy action.
policy.reasonanyYesThe policy reason, if any.

update_tool_invocation_policy

Input
ParameterTypeRequiredDescription
idstringYesThe ID of the tool invocation policy to update.
toolIdstringNoThe ID of the tool (UUID from the tools table).
conditionsobject[]NoUpdated array of conditions that must all match. Empty array means unconditional.
conditions[].keystringYesThe argument name or context path to evaluate (for example url or context.externalAgentId).
conditions[].operator"equal" | "notEqual" | "contains" | "notContains" | "startsWith" | "endsWith" | "regex"YesThe comparison operator.
conditions[].valuestringYesThe value to compare against.
action"allow_when_context_is_untrusted" | "block_when_context_is_untrusted" | "block_always" | "require_approval"NoUpdated action to take when the policy matches.
reasonanyNoUpdated human-readable explanation for why this policy exists.
Output
FieldTypeRequiredDescription
policyobjectYesThe requested tool invocation policy.
policy.idstringYesThe policy ID.
policy.toolIdstringYesThe tool ID this policy targets.
policy.conditionsobject[]YesConditions evaluated for the policy.
policy.conditions[].keystringYesThe evaluated argument or context key.
policy.conditions[].operator"equal" | "notEqual" | "contains" | "notContains" | "startsWith" | "endsWith" | "regex"YesThe comparison operator.
policy.conditions[].valuestringYesThe comparison value.
policy.action"allow_when_context_is_untrusted" | "block_when_context_is_untrusted" | "block_always" | "require_approval"YesThe policy action.
policy.reasonanyYesThe policy reason, if any.

delete_tool_invocation_policy

Input
ParameterTypeRequiredDescription
idstringYesThe ID of the tool invocation policy.
Output
FieldTypeRequiredDescription
successbooleanYesWhether the delete succeeded.

get_trusted_data_policies

This tool takes no arguments.

Output
FieldTypeRequiredDescription
policiesobject[]YesTrusted data policies.
policies[].idstringYesThe policy ID.
policies[].toolIdstringYesThe tool ID this policy targets.
policies[].conditionsobject[]YesConditions evaluated for the policy.
policies[].conditions[].keystringYesThe evaluated result key or path.
policies[].conditions[].operator"equal" | "notEqual" | "contains" | "notContains" | "startsWith" | "endsWith" | "regex"YesThe comparison operator.
policies[].conditions[].valuestringYesThe comparison value.
policies[].action"block_always" | "mark_as_trusted" | "mark_as_untrusted" | "sanitize_with_dual_llm"YesThe policy action.
policies[].descriptionanyYesThe policy description, if any.

create_trusted_data_policy

Input
ParameterTypeRequiredDescription
toolIdstringYesThe ID of the tool (UUID from the tools table).
conditionsobject[]YesArray of conditions that must all match. Empty array means unconditional.
conditions[].keystringYesThe attribute key or path in the tool result to evaluate (for example emails[*].from or source).
conditions[].operator"equal" | "notEqual" | "contains" | "notContains" | "startsWith" | "endsWith" | "regex"YesThe comparison operator.
conditions[].valuestringYesThe value to compare against.
action"block_always" | "mark_as_trusted" | "mark_as_untrusted" | "sanitize_with_dual_llm"YesThe action to take when the policy matches.
descriptionstringNoHuman-readable explanation for why this policy exists.
Output
FieldTypeRequiredDescription
policyobjectYesThe requested trusted data policy.
policy.idstringYesThe policy ID.
policy.toolIdstringYesThe tool ID this policy targets.
policy.conditionsobject[]YesConditions evaluated for the policy.
policy.conditions[].keystringYesThe evaluated result key or path.
policy.conditions[].operator"equal" | "notEqual" | "contains" | "notContains" | "startsWith" | "endsWith" | "regex"YesThe comparison operator.
policy.conditions[].valuestringYesThe comparison value.
policy.action"block_always" | "mark_as_trusted" | "mark_as_untrusted" | "sanitize_with_dual_llm"YesThe policy action.
policy.descriptionanyYesThe policy description, if any.

get_trusted_data_policy

Input
ParameterTypeRequiredDescription
idstringYesThe ID of the trusted data policy.
Output
FieldTypeRequiredDescription
policyobjectYesThe requested trusted data policy.
policy.idstringYesThe policy ID.
policy.toolIdstringYesThe tool ID this policy targets.
policy.conditionsobject[]YesConditions evaluated for the policy.
policy.conditions[].keystringYesThe evaluated result key or path.
policy.conditions[].operator"equal" | "notEqual" | "contains" | "notContains" | "startsWith" | "endsWith" | "regex"YesThe comparison operator.
policy.conditions[].valuestringYesThe comparison value.
policy.action"block_always" | "mark_as_trusted" | "mark_as_untrusted" | "sanitize_with_dual_llm"YesThe policy action.
policy.descriptionanyYesThe policy description, if any.

update_trusted_data_policy

Input
ParameterTypeRequiredDescription
idstringYesThe ID of the trusted data policy to update.
toolIdstringNoThe ID of the tool (UUID from the tools table).
conditionsobject[]NoUpdated array of conditions that must all match. Empty array means unconditional.
conditions[].keystringYesThe attribute key or path in the tool result to evaluate (for example emails[*].from or source).
conditions[].operator"equal" | "notEqual" | "contains" | "notContains" | "startsWith" | "endsWith" | "regex"YesThe comparison operator.
conditions[].valuestringYesThe value to compare against.
action"block_always" | "mark_as_trusted" | "mark_as_untrusted" | "sanitize_with_dual_llm"NoUpdated action to take when the policy matches.
descriptionanyNoUpdated human-readable explanation for why this policy exists.
Output
FieldTypeRequiredDescription
policyobjectYesThe requested trusted data policy.
policy.idstringYesThe policy ID.
policy.toolIdstringYesThe tool ID this policy targets.
policy.conditionsobject[]YesConditions evaluated for the policy.
policy.conditions[].keystringYesThe evaluated result key or path.
policy.conditions[].operator"equal" | "notEqual" | "contains" | "notContains" | "startsWith" | "endsWith" | "regex"YesThe comparison operator.
policy.conditions[].valuestringYesThe comparison value.
policy.action"block_always" | "mark_as_trusted" | "mark_as_untrusted" | "sanitize_with_dual_llm"YesThe policy action.
policy.descriptionanyYesThe policy description, if any.

delete_trusted_data_policy

Input
ParameterTypeRequiredDescription
idstringYesThe ID of the trusted data policy.
Output
FieldTypeRequiredDescription
successbooleanYesWhether the delete succeeded.

Tool Assignment

ToolDescription
bulk_assign_tools_to_agentsAssign multiple tools to multiple agents in bulk with validation and error handling
bulk_assign_tools_to_mcp_gatewaysAssign multiple tools to multiple MCP gateways in bulk with validation and error handling

bulk_assign_tools_to_agents

Input
ParameterTypeRequiredDescription
assignmentsobject[]YesAssignments to create or update for agents.
assignments[].toolIdstringYesThe ID of the tool to assign.
assignments[].credentialSourceMcpServerIdanyNoFor remote MCP tools, the deployed MCP server ID that should provide credentials.
assignments[].executionSourceMcpServerIdanyNoFor local MCP tools, the deployed MCP server ID that should execute the tool.
assignments[].useDynamicTeamCredentialbooleanNoWhen true, resolve credentials dynamically from the invoking team instead of pinning a deployment.
assignments[].agentIdstringYesThe agent ID to assign the tool to.
Output
FieldTypeRequiredDescription
succeededobject[]YesAssignments that succeeded.
succeeded[].agentIdstringYesThe target agent ID.
succeeded[].toolIdstringYesThe tool ID.
succeeded[].errorstringNoValidation or assignment error.
failedobject[]YesAssignments that failed.
failed[].agentIdstringYesThe target agent ID.
failed[].toolIdstringYesThe tool ID.
failed[].errorstringNoValidation or assignment error.
duplicatesobject[]YesAssignments skipped because they already existed.
duplicates[].agentIdstringYesThe target agent ID.
duplicates[].toolIdstringYesThe tool ID.
duplicates[].errorstringNoValidation or assignment error.

bulk_assign_tools_to_mcp_gateways

Input
ParameterTypeRequiredDescription
assignmentsobject[]YesAssignments to create or update for MCP gateways.
assignments[].toolIdstringYesThe ID of the tool to assign.
assignments[].credentialSourceMcpServerIdanyNoFor remote MCP tools, the deployed MCP server ID that should provide credentials.
assignments[].executionSourceMcpServerIdanyNoFor local MCP tools, the deployed MCP server ID that should execute the tool.
assignments[].useDynamicTeamCredentialbooleanNoWhen true, resolve credentials dynamically from the invoking team instead of pinning a deployment.
assignments[].mcpGatewayIdstringYesThe MCP gateway ID to assign the tool to.
Output
FieldTypeRequiredDescription
succeededobject[]YesAssignments that succeeded.
succeeded[].mcpGatewayIdstringYesThe target MCP gateway ID.
succeeded[].toolIdstringYesThe tool ID.
succeeded[].errorstringNoValidation or assignment error.
failedobject[]YesAssignments that failed.
failed[].mcpGatewayIdstringYesThe target MCP gateway ID.
failed[].toolIdstringYesThe tool ID.
failed[].errorstringNoValidation or assignment error.
duplicatesobject[]YesAssignments skipped because they already existed.
duplicates[].mcpGatewayIdstringYesThe target MCP gateway ID.
duplicates[].toolIdstringYesThe tool ID.
duplicates[].errorstringNoValidation or assignment error.

Knowledge Management

ToolDescription
query_knowledge_sourcesQuery the organization's knowledge sources to retrieve relevant information.
create_knowledge_baseCreate a new knowledge base for organizing knowledge connectors.
get_knowledge_basesList all knowledge bases in the organization.
get_knowledge_baseGet details of a specific knowledge base by ID.
update_knowledge_baseUpdate an existing knowledge base.
delete_knowledge_baseDelete a knowledge base by ID.
create_knowledge_connectorCreate a new knowledge connector for ingesting data from external sources.
get_knowledge_connectorsList all knowledge connectors in the organization.
get_knowledge_connectorGet details of a specific knowledge connector by ID.
update_knowledge_connectorUpdate an existing knowledge connector.
delete_knowledge_connectorDelete a knowledge connector by ID.
assign_knowledge_connector_to_knowledge_baseAssign a knowledge connector to a knowledge base.
unassign_knowledge_connector_from_knowledge_baseRemove a knowledge connector from a knowledge base.
assign_knowledge_base_to_agentAssign a knowledge base to an agent.
unassign_knowledge_base_from_agentRemove a knowledge base from an agent.
assign_knowledge_connector_to_agentDirectly assign a knowledge connector to an agent (bypassing knowledge base).
unassign_knowledge_connector_from_agentRemove a directly-assigned knowledge connector from an agent.

query_knowledge_sources

Input
ParameterTypeRequiredDescription
querystringYesThe user's original query, passed verbatim without rephrasing or expansion.
Output
FieldTypeRequiredDescription
resultsany[]YesRetrieved knowledge results.
totalChunksnumberYesThe number of result chunks returned.

create_knowledge_base

Input
ParameterTypeRequiredDescription
namestringYesName of the knowledge base.
descriptionanyNoDescription of the knowledge base.
Output
FieldTypeRequiredDescription
knowledgeBaseobjectYesThe requested knowledge base.
knowledgeBase.idstringYesThe knowledge base ID.
knowledgeBase.organizationIdstringYesThe organization ID.
knowledgeBase.namestringYesThe knowledge base name.
knowledgeBase.descriptionanyYesThe knowledge base description, if any.
knowledgeBase.statusstringYesThe knowledge base status.
knowledgeBase.visibilitystringYesThe knowledge base visibility.
knowledgeBase.teamIdsstring[]YesTeam IDs with access.

get_knowledge_bases

This tool takes no arguments.

Output
FieldTypeRequiredDescription
knowledgeBasesobject[]YesKnowledge bases in the organization.
knowledgeBases[].idstringYesThe knowledge base ID.
knowledgeBases[].organizationIdstringYesThe organization ID.
knowledgeBases[].namestringYesThe knowledge base name.
knowledgeBases[].descriptionanyYesThe knowledge base description, if any.
knowledgeBases[].statusstringYesThe knowledge base status.
knowledgeBases[].visibilitystringYesThe knowledge base visibility.
knowledgeBases[].teamIdsstring[]YesTeam IDs with access.

get_knowledge_base

Input
ParameterTypeRequiredDescription
idstringYesKnowledge base ID.
Output
FieldTypeRequiredDescription
knowledgeBaseobjectYesThe requested knowledge base.
knowledgeBase.idstringYesThe knowledge base ID.
knowledgeBase.organizationIdstringYesThe organization ID.
knowledgeBase.namestringYesThe knowledge base name.
knowledgeBase.descriptionanyYesThe knowledge base description, if any.
knowledgeBase.statusstringYesThe knowledge base status.
knowledgeBase.visibilitystringYesThe knowledge base visibility.
knowledgeBase.teamIdsstring[]YesTeam IDs with access.

update_knowledge_base

Input
ParameterTypeRequiredDescription
idstringYesKnowledge base ID.
namestringNoNew knowledge base name.
descriptionanyNoNew knowledge base description.
Output
FieldTypeRequiredDescription
knowledgeBaseobjectYesThe requested knowledge base.
knowledgeBase.idstringYesThe knowledge base ID.
knowledgeBase.organizationIdstringYesThe organization ID.
knowledgeBase.namestringYesThe knowledge base name.
knowledgeBase.descriptionanyYesThe knowledge base description, if any.
knowledgeBase.statusstringYesThe knowledge base status.
knowledgeBase.visibilitystringYesThe knowledge base visibility.
knowledgeBase.teamIdsstring[]YesTeam IDs with access.

delete_knowledge_base

Input
ParameterTypeRequiredDescription
idstringYesKnowledge base ID.

create_knowledge_connector

Input
ParameterTypeRequiredDescription
namestringYesName of the knowledge connector.
connector_typestringYesType of the knowledge connector (for example jira, confluence, or google_drive).
configobjectYesProvider-specific configuration object.
descriptionanyNoDescription of the knowledge connector.
Output
FieldTypeRequiredDescription
knowledgeConnectorobjectYesThe requested knowledge connector.
knowledgeConnector.idstringYesThe knowledge connector ID.
knowledgeConnector.organizationIdstringYesThe organization ID.
knowledgeConnector.knowledgeBaseIdanyNo
knowledgeConnector.namestringYesThe connector name.
knowledgeConnector.connectorTypestringYesThe connector type.
knowledgeConnector.descriptionanyYesThe connector description, if any.
knowledgeConnector.enabledbooleanNo
knowledgeConnector.configanyYesThe provider-specific connector configuration.

get_knowledge_connectors

This tool takes no arguments.

Output
FieldTypeRequiredDescription
knowledgeConnectorsobject[]YesKnowledge connectors in the organization.
knowledgeConnectors[].idstringYesThe knowledge connector ID.
knowledgeConnectors[].organizationIdstringYesThe organization ID.
knowledgeConnectors[].knowledgeBaseIdanyNo
knowledgeConnectors[].namestringYesThe connector name.
knowledgeConnectors[].connectorTypestringYesThe connector type.
knowledgeConnectors[].descriptionanyYesThe connector description, if any.
knowledgeConnectors[].enabledbooleanNo
knowledgeConnectors[].configanyYesThe provider-specific connector configuration.

get_knowledge_connector

Input
ParameterTypeRequiredDescription
idstringYesKnowledge connector ID.
Output
FieldTypeRequiredDescription
knowledgeConnectorobjectYesThe requested knowledge connector.
knowledgeConnector.idstringYesThe knowledge connector ID.
knowledgeConnector.organizationIdstringYesThe organization ID.
knowledgeConnector.knowledgeBaseIdanyNo
knowledgeConnector.namestringYesThe connector name.
knowledgeConnector.connectorTypestringYesThe connector type.
knowledgeConnector.descriptionanyYesThe connector description, if any.
knowledgeConnector.enabledbooleanNo
knowledgeConnector.configanyYesThe provider-specific connector configuration.

update_knowledge_connector

Input
ParameterTypeRequiredDescription
idstringYesKnowledge connector ID.
namestringNoNew connector name.
descriptionanyNoNew connector description.
enabledbooleanNoWhether the connector is enabled.
configobjectNoUpdated connector configuration (provider-specific settings).
Output
FieldTypeRequiredDescription
knowledgeConnectorobjectYesThe requested knowledge connector.
knowledgeConnector.idstringYesThe knowledge connector ID.
knowledgeConnector.organizationIdstringYesThe organization ID.
knowledgeConnector.knowledgeBaseIdanyNo
knowledgeConnector.namestringYesThe connector name.
knowledgeConnector.connectorTypestringYesThe connector type.
knowledgeConnector.descriptionanyYesThe connector description, if any.
knowledgeConnector.enabledbooleanNo
knowledgeConnector.configanyYesThe provider-specific connector configuration.

delete_knowledge_connector

Input
ParameterTypeRequiredDescription
idstringYesKnowledge connector ID.

assign_knowledge_connector_to_knowledge_base

Input
ParameterTypeRequiredDescription
connector_idstringYesKnowledge connector ID.
knowledge_base_idstringYesKnowledge base ID.

unassign_knowledge_connector_from_knowledge_base

Input
ParameterTypeRequiredDescription
connector_idstringYesKnowledge connector ID.
knowledge_base_idstringYesKnowledge base ID.

assign_knowledge_base_to_agent

Input
ParameterTypeRequiredDescription
knowledge_base_idstringYesKnowledge base ID.
agent_idstringYesAgent ID.

unassign_knowledge_base_from_agent

Input
ParameterTypeRequiredDescription
knowledge_base_idstringYesKnowledge base ID.
agent_idstringYesAgent ID.

assign_knowledge_connector_to_agent

Input
ParameterTypeRequiredDescription
connector_idstringYesKnowledge connector ID.
agent_idstringYesAgent ID.

unassign_knowledge_connector_from_agent

Input
ParameterTypeRequiredDescription
connector_idstringYesKnowledge connector ID.
agent_idstringYesAgent ID.

Chat

ToolDescription
todo_writeWrite todos to the current conversation.
swap_agentSwitch the current conversation to a different agent.
swap_to_default_agentReturn to the default agent.
artifact_writeWrite or update a markdown artifact for the current conversation.

todo_write

Input
ParameterTypeRequiredDescription
todosobject[]YesArray of todo items to write to the conversation.
todos[].idintegerYesUnique identifier for the todo item.
todos[].contentstringYesThe content or description of the todo item.
todos[].status"pending" | "in_progress" | "completed"YesThe current status of the todo item.
Output
FieldTypeRequiredDescription
successbooleanYesWhether the write succeeded.
todoCountintegerYesHow many todo items were written.

swap_agent

Input
ParameterTypeRequiredDescription
agent_namestringYesThe name of the agent to switch to.
Output
FieldTypeRequiredDescription
successbooleanYesWhether the swap succeeded.
agent_idstringYesThe agent ID the conversation now uses.
agent_namestringYesThe agent name the conversation now uses.

swap_to_default_agent

This tool takes no arguments.

Output
FieldTypeRequiredDescription
successbooleanYesWhether the swap succeeded.
agent_idstringYesThe agent ID the conversation now uses.
agent_namestringYesThe agent name the conversation now uses.

artifact_write

Input
ParameterTypeRequiredDescription
contentstringYesThe markdown content to write to the conversation artifact. This completely replaces any existing artifact content.
Output
FieldTypeRequiredDescription
successbooleanYesWhether the artifact write succeeded.
characterCountintegerYesThe number of characters written to the artifact.