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

Annotations cover the safety profile (readOnly, idempotent, openWorld), and the description adds genuinely new context: no wallet/payment is required, the sample is a fixed example rather than an arbitrary query, and the payload matches what a paying buyer receives. It does not disclose rate limits or whether the free sample is per-product or one-time.

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?

Front-loads the strongest selling point ('FREE, no wallet needed') and runs three tight sentences with no filler. Minor redundancy between 'exactly what a buyer of that request gets' and 'see the data and its format before paying'.

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?

With no output schema, the description correctly explains return semantics (the sample is exactly the paid response) and the cost model. For a single-enum-parameter tool that is close to sufficient; only the enum mapping and any free-sample limits are left unstated.

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 0% and the single parameter is a large enum of products. The description gives representative examples of the fixed records and clarifies that the sample is one fixed request per product (not queryable), which adds real meaning, but it does not explain the enum taxonomy or how each product maps to its sample record.

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?

Specific verb+resource: returns a free sample answer for one fixed example request of a named product, with concrete example records (Log4Shell, Apple, GDPR, Kitzbuehel). It distinguishes itself implicitly from the paid path ('any other query of the product is paid') without naming the sibling call_product.

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?

Clearly states when to use it ('to see the data and its format before paying') and explicitly excludes other usage ('any other query of the product is paid'). The exclusion is there but the alternative tool is not named, so the routing is implied rather than explicit.

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