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

With no annotations, the description carries full behavioral disclosure responsibility. It adds useful context: answers are 'cité et vérifié' and each call costs 0.50 USDC. However, it does not disclose potential side effects beyond cost, response structure, latency, or any constraints on question types, so the behavioral picture is only partially complete.

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 description is a single sentence that packs in the tool's identity, scope, key categories, and a citation/verification promise, followed by pricing. It is efficient and front-loaded with the most important information, though the long parenthetical category list makes it slightly dense.

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?

Given the empty input schema, the description never explains how the agent is supposed to convey the 'question de savoir' to the tool. It also lacks any information about the response format beyond 'cité et vérifié.' For a zero-parameter tool, the description must clarify invocation semantics (e.g., question taken from context or provided in a natural-language payload), and this is a critical gap that prevents correct use.

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 has zero parameters with 100% schema coverage, so the schema is trivially complete. Per the baseline for parameterless tools, no additional parameter explanation is needed. The description appropriately omits parameter details since none exist.

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 clearly states the tool is a 'generalist oracle' that answers any knowledge question, listing concrete categories (recherche, veille, analyse, rédaction, conformité, tendances) and promising cited/verified answers. It is specific enough to distinguish itself from the many narrowly-scoped sibling tools, though it does not explicitly differentiate itself from other general AI assistants like x402-ai-ask or x402-ai-chat.

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 scope statement ('répond à TOUTE question de savoir') implies when to use the tool, and the category list gives practical examples. However, there is no explicit when-not-to-use guidance and no mention of alternatives among the extensive sibling list, leaving the agent to infer appropriate routing.

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