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

No annotations are supplied, so the description carries the full burden, and it delivers the single most important behavioral fact: the tool is 'Paid per call via x402 (USDC on Base)', with the schema explaining that omitting payment_signature returns payment requirements. It also discloses the returned field set. It does not mention rate limits, latency, or pagination beyond the limit parameter.

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?

Three sentences, front-loaded with what it does and where the data comes from, followed by return fields, then usage context, then the payment model. Dense but every sentence carries information; the return-field list is the only part that could be trimmed slightly since no output schema exists to carry it.

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 usefully enumerates the return fields (award ID, recipient, UEI, amount, agency, dates, place of performance, links). The commercial model (x402/USDC payment) is disclosed, which an agent needs before calling. Minor gaps remain around result ordering, pagination, and error/auth behavior.

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 every one of the 8 parameters is already documented in the schema, including defaults (365 days, 20 results), the award_type enum, and payment_signature usage. The description's enumeration of keyword/recipient/agency/NAICS/date mirrors the schema rather than adding syntax or format guidance, so the baseline 3 applies.

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 (search) and resource (US federal awards) plus the authoritative source (USAspending.gov, official Treasury data) and the concrete award types covered (contracts, IDVs, grants, loans). An agent immediately knows what this retrieves without opening the 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?

Provides an explicit use context: 'Use when you need to know who wins US federal contracts or grants (competitors, partners, sales leads) or what a given company has been awarded.' It also enumerates the filterable dimensions. There are no sibling tools, so no exclusions to state, but it stops short of saying when NOT to use it (e.g. non-US or state-level awards).

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