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

No annotations exist, so the description carries the load and does well: it enumerates the return payload (on_official_list, status values, scored matches, list date, source) and discloses a critical caveat that this is an unofficial copy and the official lists prevail. It omits any statement about rate limits or freshness of the snapshot beyond 'list date'.

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 core question is front-loaded and every clause adds information, though the embedded examples, date parentheticals and legal disclaimer make it a dense run-on that could be split for scanability.

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?

With no output schema, the description successfully enumerates the return shape and status enum, and covers the identity-matching ambiguity via the 'possible_match' status. Only the limit/pagination behavior is left unexplained.

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?

Schema coverage is 0% with three parameters. The description explains name and website with concrete examples and a 'give at least one' constraint, but the 'limit' parameter is never mentioned in either schema or description, leaving one parameter fully opaque.

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?

Opens with a specific yes/no question ('Is this e-invoicing platform on France's official list of Plateformes Agréées') naming the exact resource and authority (DGFiP lists on impots.gouv.fr). This is clearly distinguishable from lookup_company or verify_vat, which check different registries.

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?

Gives a concrete usage context ('supplier due diligence before the French reform') with the regulatory timeline, plus an input rule ('give at least one') and an important negative case ('A solution compatible is not a PA itself'). It does not name which sibling to use instead when the target is not a PA, which keeps it below a 5.

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