Read the constitutional Livre des IA
get_ai_bookLivre des IA: charter and latest proposals. One record: get_ai_book_record (in faceabot_more_tools).
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
get_ai_bookLivre des IA: charter and latest proposals. One record: get_ai_book_record (in faceabot_more_tools).
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false, and openWorldHint=false, so safety is well covered. The description adds no behavioral detail such as freshness, pagination, auth, or what happens if the book is unavailable; with annotations providing the main profile, a 3 is appropriate.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is very short and front-loads the resource scope. The fragmented phrasing ('One record: get_ai_book_record...') is a bit cryptic, but every phrase carries routing or scope information.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a zero-argument read tool with rich annotations and no output schema, the description should make return expectations clearer. It says the tool covers the charter and latest proposals, but does not explain whether the result is the full book, a summary, or the latest entries, leaving some ambiguity.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
There are zero parameters, so the baseline is 4. The description does not need to explain parameter semantics, and it correctly avoids irrelevant parameter detail.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description identifies the resource and content scope ('charter and latest proposals'), but it omits an explicit verb and only indirectly contrasts with the sibling submit_ai_book_proposal. An agent can infer what it reads, but the purpose statement is more label than clear action.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
It gives one routing clue: use get_ai_book_record for a single record. It does not state when to use this aggregate book view versus related tools like read_suggestion_board or submit_ai_book_proposal, so usage is only partially implied.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.