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

Annotations already declare this as a read-only, idempotent, non-destructive, closed-world call, so the safety profile needs no restating. The description adds genuine behavioral context: it discloses what comes back (announced specs, other versions, alternatives) and qualifies that the official-shop price is only present "quand il existe", which warns the agent that price may be missing.

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?

It is essentially one dense sentence that front-loads the returned fields and ends with the 2-to-4 comparison case, with no filler. Slightly hard to scan because everything is packed into a single sentence, but nothing is wasted.

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?

There is no output schema, so the description must describe the return payload — and it enumerates the spec fields, price, other versions, alternatives and the comparison-table mode. Complete enough for an agent to know what to expect, though it does not address the maxItems of 4 or what happens with an invalid identifier.

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 100% and the single parameter already documents the "marque/modele-annee" identifier pattern with an example, so the baseline is a 3. The description earns an extra point by explaining the cardinality semantics: a single racket yields a detail view, while 2 to 4 rackets produce a side-by-side comparison table.

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 a specific verb and resource — it returns the brand-announced characteristics of a padel racket (shape, level, weight, balance, core, face) plus last price, other versions and alternatives. That is concrete enough to distinguish it from chercher_raquettes and recommander_raquettes by output type, but it never explicitly says it is the detail-lookup step rather than the search or recommendation step.

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?

Use is only implied: the description says it accepts 1 to 4 rackets and produces a comparison table, so an agent can infer it is the follow-up to a search. There is no explicit when-to-use, when-not, or pointer to a sibling for the search/recommendation case.

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