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

Beyond the readOnly/destructive annotations, the description discloses PII safeguards ('Never a name, phone, email, date of birth or five-digit ZIP'), pricing mechanics, payment methods, the no-payment failure mode ('Without payment the result is a 402 with the price and a preview count'), and a pointer to sample/schema data. This adds substantial behavioral context and does not contradict the annotations.

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 dense but well-structured: it front-loads the dataset definition, then gives privacy guarantees, filtering, pricing, payment, failure behavior, and a schema reference. Every sentence earns its place and no content is redundant with the input schema.

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 tool with 11 parameters, no required fields, and no output schema, the description covers the essential operational concerns: filters, payment options, error behavior, and a link to the schema at /data.json. It could be slightly more explicit about the success response shape and the exact accepted values for door/vendor, but it is highly usable as written.

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 only 36%, but the description compensates by mapping all parameter groups: state/since/until/door/vendor/limit/offset for filtering, and buyer_key/x402/MPP/AP2 for the payment-related fields. It does not enumerate exact allowed values for door or vendor, which leaves some ambiguity, but the dataset field list provides enough business context.

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 identifies a specific resource — 'the demand dataset' of de-identified auto insurance requests — and a clear purchase/retrieval action via the title 'Buy de-identified demand records'. It enumerates the record contents and distinct filters, making it easy to tell apart from siblings like get_quotes or pull_requests.

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 gives clear context for when to use the tool: to pull filtered de-identified demand records and pay for them. It does not explicitly name sibling alternatives or state when not to use it, but the dataset framing and payment behavior make the tool's role unambiguous.

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