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

Annotations already declare readOnlyHint=true and openWorldHint=true, so safety is covered. The description adds genuinely useful non-structured context: the data source (FPDS) and the paid-access model ($0.005 USDC per call via x402), which an agent must know before invoking. It does not cover pagination or how limit behaves.

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, front-loaded with what the tool returns and the data source, followed by the cost caveat. Every clause carries information; nothing is redundant padding.

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 does the work of describing return fields (amounts, agency, NAICS, dates, descriptions) and discloses the payment requirement. The remaining gap is that limit/pagination behavior is never explained, which matters for a list-style endpoint.

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 coverage is 50%: 'q' is documented in the schema and the description restates its scope (keyword, vendor or agency). The 'limit' parameter is undocumented in both schema and description, so the description does not compensate for the coverage gap. Baseline 3 is appropriate.

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: 'US federal contract awards (FPDS)' with 'who won government contracts for a keyword, vendor or agency'. It also enumerates the returned fields (amounts, agency, NAICS code, dates, descriptions), which lets an agent separate it from near-neighbors like grants or company_registry without opening a schema.

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?

Usage is implied by the subject matter (query contract award data for a keyword/vendor/agency), but there is no explicit when-to-use, when-not-to-use, or alternative named among the many siblings (grants, contract_inspect, report_contract_audit). The agent must infer the boundary itself.

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