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

No annotations are provided, so the description carries the burden alone. It is implicitly a side-effect-free informational read and the content it returns is described, but read-only status, cost, and whether this reflects a live or snapshot state are not stated outright. Low risk given zero parameters, but the disclosure is thin.

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?

A single sentence with zero filler, and the returned content is listed before the usage hint. The colon construction is dense but readable and front-loads the useful 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?

With no parameters and an output schema documenting the return shape, the description only needed to convey purpose and when to cite it, which it does. Only the trigger condition for calling it remains implicit.

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?

The tool takes no parameters, so there is nothing for the description to disambiguate; baseline 4 applies. The mention of 'chaque base' does hint that the result is a per-database collection, which slightly helps interpretation even though the output schema already covers the structure.

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 names the concrete payload (counts, dump dates, last DILA incremental per database), which is specific enough to distinguish it from every sibling, all of which retrieve legal content rather than dataset metadata. It stops short of a clean verb phrase, but the resource and its contents are unambiguous.

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?

'à citer pour indiquer l'actualité des données' gives one real usage rule: cite this to state data freshness. It does not say when an agent should proactively call it (e.g., before citing a text, or when asked about data currency) nor does it exclude anything, so guidance is implied rather than spelled out.

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