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Cloud Tool Manage Tool

tool_manage

Register, configure, and control MCP servers and built-in tools for AI agents. Supports CRUD, activation, deactivation, and remote probing.

Instructions

LLM tool management — registers MCP servers (stdio, HTTP, bridge) and built-in tools (bash, filesystem, browser, SSH) that agents can call at inference time. Tool execution may have any side effect declared by the underlying tool; the platform constrains bash/filesystem/SSH only via the agent's bash_policy. Tool credentials are encrypted at rest with the team's per-tenant key.

When to use: connect a new external MCP server (e.g. GitHub, Slack, Notion) so agents can call its tools, toggle a tool's availability without deleting it, or test a remote MCP server's reachability before wiring it to an agent. Do NOT use to invoke tools — agents call them automatically based on attached configuration.

CRUD actions:

  • list (read) — optional: type (mcp_stdio|mcp_http|mcp_bridge|built_in), status, limit (default 50).

  • get (read) — tool_id (UUID). Metadata only; credentials redacted in response.

  • create (write) — name, type, config (type-specific JSON: command for stdio, url+headers for http, kind for built_in).

  • update (write) — tool_id + any creatable field. Re-encrypts credentials if provided.

  • delete (DESTRUCTIVE) — tool_id. Soft-deletes; agents lose access on next ResolveAgentTools call (cached up to 5 minutes).

  • activate / deactivate (write) — tool_id. Flips active flag without deletion; affects all agents that reference the tool.

Discovery (cloud restricts these to safe operations):

  • probe_remote (read — calls the remote URL, no registration) — url. Sends an MCP initialize request; returns server name, version, declared capabilities.

Cloud note: discover_mcp and import_mcp (which auto-register all tools from a remote server) are NOT available in cloud — they require explicit per-tool review under cloud's security policy. Use probe_remote then create per tool instead.

Errors: 401, 403, 404, 422 (config validation), 429, 503 (remote MCP server unreachable for probe_remote).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
actionYesAction to perform: list, get, create, update, delete, activate, deactivate, probe_remote
deadline_msNoOptional: max wall-clock time (ms) the tool may spend. If exceeded during the call, returns a DEADLINE_EXCEEDED error. Minimum 100 ms. Leave unset for no deadline.
statusNoFilter by status: active, disabled
platform_onlyNoIf true, return only platform-level tools (shared across all teams)
limitNoMax results to return (default 10, max 100)
tool_idYesThe tool UUID
nameYesTool name
descriptionNoTool description
typeNoTool type: mcp_stdio, mcp_http, mcp_bridge, built_in (default: mcp_stdio)mcp_stdio
transport_configNoTransport configuration (command, args, env for stdio; url, headers for http)
risk_levelNoRisk classification: safe, read, write, destructive
credential_idNoUUID of a linked Credential to use for this tool (optional; preferred over inline api_key)
network_policyNoJSON string defining egress rules for Docker sandbox (built_in bash only). Example: {"rules":[{"protocol":"tcp","host":"api.example.com","port":443}],"default_action":"deny"}
clear_credential_idNoSet true to remove the linked credential from this tool
credential_overridesNoKey-value pairs of environment variable overrides (e.g. API keys). Values are stored encrypted.
Behavior5/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Despite no annotations, the description fully discloses behavioral traits: side effects depend on underlying tool, platform constraints via bash_policy, credential encryption, soft-delete with caching, and error codes. It also notes that credentials are redacted in responses, adding safety context.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is well-structured with sections, bullet points, and clear headings. It is detailed but each sentence earns its place. Minor redundancy could be trimmed, but it remains highly readable and informative.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's complexity (15 parameters, nested objects, no output schema), the description is remarkably complete: it covers all actions, side effects, error codes, caching behavior, and cloud-specific limitations. No gaps are evident for a sophisticated agent.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, but the description adds value by explaining parameter usage in context (e.g., probe_remote is read-only, delete is destructive with caching). It does not merely repeat schema but enhances understanding.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool's purpose: managing MCP servers and built-in tools for agents. It lists specific actions (CRUD, activation, probe) and distinguishes from sibling tools like agent_manage or credential_manage by focusing on tool registration and lifecycle.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The 'When to use' section explicitly guides when to use this tool (e.g., connect new MCP server, toggle availability) and includes a warning not to use it for invocation. It also clarifies cloud-specific restrictions (discover_mcp not available), providing clear context for selection.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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