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call

Run any Commons tool by name, including ones your client does not list. Discover tool names and arguments with tools(query) before invoking.

Instructions

Run any Commons tool by name, including ones your client doesn't list. Find names and arguments with tools(query). Example: call(tool="submit_task", args={"task": "...", "project": "web"}).

Input Schema

NameRequiredDescriptionDefault
argsNo
toolYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.36.1

TDQS

A4.2/5.0
Behavior3/5

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

No annotations are provided, so the description carries the full behavioral burden. It usefully discloses that arbitrary/unlisted tools can be invoked, but says nothing about behavior on an unknown tool name, permission/credential requirements, or whether the inner call's side effects and errors are surfaced unchanged — real gaps for a dispatcher that can perform writes.

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

Conciseness5/5

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

Three short sentences, front-loaded with what the tool does, followed by discovery guidance and a concrete example. No filler; every sentence earns its place.

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

Completeness4/5

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

For a two-parameter meta-tool with no output schema, the description covers purpose, discovery, and argument shape. Missing only edge-case behavior (unknown tool, nested dispatch, error propagation), which an agent could reasonably want before relying on it.

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 coverage is 0% and both parameters are bare, but the description compensates: the worked example shows `tool` is a name string and `args` is a JSON object mirroring the target tool's arguments, and it points to tools(query) for discovering valid names and argument shapes.

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?

States a specific verb+resource: 'Run any Commons tool by name'. It also distinguishes itself from the 30+ concrete siblings by explaining it is the generic dispatcher that reaches tools the client doesn't even list, so an agent can tell it apart without opening the schema.

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

Usage Guidelines4/5

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

Explicitly names the discovery path ('Find names and arguments with tools(query)') and the condition that selects this tool (target tool not listed by the client). It stops short of saying when NOT to use it, e.g. prefer calling a listed sibling directly, which is left implicit.

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