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

With no annotations, the description carries the full burden, and it does disclose meaningful traits: $0.01 cost via x402 (USDC on Base), a provenance chain, and an Ed25519 attestation. However it never explains how the single US state is supplied (the input schema exposes only 'payment'), which is a key invocation detail left opaque.

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 tight sentences: purpose and scope are front-loaded, followed by cost and provenance details. No wasted filler, though the payment/attestation clause is dense and could be split for clarity.

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 exists, and while the description notes the response includes a provenance chain and attestation, the largest gap is that a summary 'for one US state' provides no way to know how to specify that state given the schema exposes only 'payment'. An agent cannot confidently invoke this correctly.

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% and the single 'payment' parameter is fully documented with its legacy header form and the free-quote omission case. The description adds only the $0.01 price, so baseline 3 is appropriate given the schema does the heavy lifting.

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 ('FDA recall counts'), the scope ('one US state'), and the grouping dimensions ('classification and product type') over a named dataset. This distinguishes it from fda_recall_lookup (a detail lookup) by virtue of being a summary, though no sibling is named explicitly.

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?

No when-to-use vs alternatives guidance, and no mention of fda_recall_lookup or the CPSC-equivalent summary tools as adjacent options. The 'for one US state' scoping implies a use case but there is no explicit routing or exclusion advice.

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