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

Annotations already establish that the tool is read-only and idempotent. The description adds useful context beyond those hints by naming the data source (USAspending.gov), the geographic basis (place of performance), and the exact return content: dollars, per-resident values, population, and state contract rank. It does not discuss error cases or response formatting, but for this read-only single-parameter lookup the disclosure is strong.

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 a single, well-structured sentence with no filler. It front-loads the year and subject, then efficiently enumerates the returned metrics without redundancy.

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 one schema-covered parameter and read-only annotations, the description is largely complete for an agent deciding whether to call it. It even compensates for the missing output schema by summarizing what the result contains. Minor ambiguities remain, such as the exact ordering or basis of the 'rank' value, but nothing critical is missing.

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?

The input schema fully describes the single parameter county_fips, including its 5-digit pattern and a concrete example. The description adds no parameter-specific semantics beyond the general 'US county' context, so the schema carries the burden and the baseline 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?

The description clearly identifies the tool as reporting FY2025 federal prime contract and grant obligations for a US county, and it names the exact metrics returned. It lacks an explicit verb like 'returns' or 'lists', and it does not contrast itself with siblings, so it stops short of a 5.

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 implies when to use the tool: when the agent needs FY2025 federal spending data for a US county. However, it provides no explicit when-to-use or when-not-to-use guidance and does not mention any alternative tools or exclusions.

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