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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false. The description adds the premium cost and payment method ($0.25 USDC via x402), which is critical for cost-sensitive agents. It also clarifies the lookup attribute is flexible (product, brand, or category). No contradiction.

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?

Two sentences, concise and front-loaded with the main purpose. The cost detail is essential and placed at the end without extra fluff. Slightly more structure could be added, but overall it's efficient.

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 simple one-parameter tool with no output schema and full schema coverage, the description provides the necessary lookup flexibility and cost information. It doesn't detail the return format, but given the simple input and the annotations covering safety, this is adequate.

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 the parameter is fully documented. The description adds semantic nuance by clarifying that the lookup can be a product, brand, or category, which broadens the agent's understanding beyond the schema's examples.

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?

Clearly states the tool retrieves product recall information and specifies the key data returned (recall date, hazard description, remedy, regulatory authority). Distinguishes from siblings by its unique focus on recalls, especially from the many Interzoid data-lookup tools.

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 description implies usage by allowing lookup of a product, brand, or category, but does not explicitly state when to prefer this over alternatives or mention any exclusions. Given the large sibling set, explicit guidance would be helpful, but the clear scope partially substitutes.

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