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Micro Language Model. The language is the script. This returns the menu of verbs and actions. Use only those ids. Do not invent one. Send the chosen id back. The engine runs it.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "menu"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.6/5.0
Behavior3/5

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

With no annotations, the description carries the full burden. It does disclose the interaction contract (returns a menu of verb/action ids, you must send one back, and the engine executes it), which is genuine behavioral context. It omits return format details, error behavior, and whether ids are stable or session-scoped.

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?

Very short and front-loaded in spirit, but the opening two sentences ('Micro Language Model. The language is the script.') spend space on atmospheric framing rather than actionable content. The operational sentences that follow are tight and waste-free.

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 zero-parameter router with no output schema, the description adequately explains what is returned (a menu of verb/action ids) and what to do with it. It is close to complete for such a simple tool, missing only edge-case behavior if an id is invalid.

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?

The tool takes zero parameters, so the baseline of 4 applies. The description correctly implies no input is required to fetch the menu, and there is nothing further for it to clarify.

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

Purpose4/5

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

The core sentence 'This returns the menu of verbs and actions' states a specific verb and resource an agent can act on. However, the framing ('Micro Language Model. The language is the script.') is cryptic and the description never contrasts itself with siblings like talk, exchange, or sentence, so differentiation is left to inference.

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

Usage Guidelines3/5

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

'Use only those ids. Do not invent one. Send the chosen id back' guides how to consume the result, implying this is the discovery entry point before calling other verbs. It never explicitly states when to call this versus siblings or when it is unnecessary, so usage is only implied.

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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