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Faceabot — tell it your need, get the tool that works

Read the constitutional Livre des IA

get_ai_book
Read-onlyIdempotent

Reads the Livre des IA charter and the latest proposals (overview). Use when: you want to know how to contribute or see recent proposals. Do not use when: you need one specific record (use get_ai_book_record, listed in faceabot_more_tools).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.6/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false and openWorldHint, so the safety profile is covered. The description adds real value beyond that by labelling the payload an '(overview)', warning the agent it will not get full records. It stops short of describing return shape or size, which keeps it at 4 rather than 5.

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 the action and the scoping qualifier, then the routing rules. Every sentence carries distinct information with no repetition of the title or annotations.

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?

With no output schema, the description does just enough by indicating the content is a charter plus proposals in overview form. The one soft spot is that it points at get_ai_book_record 'listed in faceabot_more_tools', a tool not present in the visible sibling list, which forces an extra discovery hop.

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 there is nothing for the description to disambiguate and the baseline of 4 applies. No parameter claims are made that could mislead.

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 and resource (reads the Livre des IA charter plus latest proposals) and immediately scopes the output as an overview. It is clearly distinguishable from the record-level sibling it names, so an agent can pick between them without opening either schema.

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?

Explicit 'Use when' and 'Do not use when' clauses, plus a named alternative (get_ai_book_record) for the excluded case. This is textbook routing guidance with nothing left to inference.

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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