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

With no annotations, the description carries the full burden and does well: it discloses the cost model ($0.05 USDC per call via x402), the independence of the verifier, and the shape of the result including the three verdict labels. It omits latency/rate limits and error behavior, which keeps it short of a 5.

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?

Four compact sentences, front-loaded with what it is and what you get, followed by when to use it and the price. No filler, though the verdict glossary and pricing could be tightened.

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?

No output schema or annotations exist, so the description rightly supplies the return semantics (score range, doubtful claims, verdict vocabulary) and the payment model. Input constraints live in the schema, so nothing critical is missing for correct invocation.

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%, so texte, langue and consigne are already fully documented, including the 12,000-char limit and fr/en choice. The description adds no parameter-level detail beyond that, which meets the baseline for a fully-covered schema.

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 ('independent verifier agent' that checks a deliverable) and enumerates the outputs (0-100 score, doubtful claims, verdict mapped to valider/corriger/rejeter). It is clearly distinguishable from the sibling audit/check tools, though it never names or contrasts them.

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?

'Check another agent's work before paying for it' gives a concrete triggering condition for use. There is no explicit when-not guidance or named alternative among the siblings, but the context is unambiguous.

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