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

No annotations are supplied, so the description carries the full behavioral burden. It discloses the backing endpoint (/api/ai/sources) and the nature of the payload (editorial URLs), implying a safe read, but says nothing about authentication, rate limits, pagination, or whether results are cached or localized.

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 front-loaded sentence with no filler; the resource and source endpoint appear immediately. It is efficient, though the brevity leaves no room for the differentiating detail an agent would want.

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-required-parameter read tool with no output schema and full schema coverage, the definition covers what the tool returns (citable editorial URLs) and where from. Only secondary details such as auth requirements or result ordering are absent, which is a minor gap at this complexity level.

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 description coverage is 100% and the single 'kind' parameter already enumerates hub, guide, observatory, simulator, barometer, avis, comparatif. The description merely echoes a subset of those values, adding no syntax, default-behavior, or multi-value semantics beyond the schema; baseline 3 applies.

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?

States a specific verb+resource: listing citable editorial URLs (guides, observatory, simulators) from the /api/ai/sources catalogue. That is concrete enough to distinguish it from get_site_overview, but it never explicitly contrasts with list_simulators, which overlaps on the 'simulateurs' content it names.

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?

The parenthetical categories imply when the tool is relevant (fetching editorial/citable links), but there is no explicit when-to-use or when-not-to-use guidance and no routing to siblings such as list_simulators or calculate_* tools. Usage is inferable rather than stated.

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