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

Beyond the read-only annotations, the description discloses important behavioral context: the returned fields, accepted id formats, and a data-quality caveat that award-level outlays and total_account_obligation are partial or lagged File C measures. That caveat is highly useful for avoiding misinterpretation of the response.

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 front-loaded and well organized, with purpose first, usage guidance second, and caveats after. The return-field list is somewhat long, but most of it adds useful context rather than repetition.

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?

Given one required parameter, existing annotations, and an output schema, the description is complete enough for correct invocation. It covers purpose, source of the id, accepted formats, return contents, and a meaningful interpretation caveat.

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 0%, so the description carries the full burden for the single parameter. It compensates well by explaining that generated_award_id accepts either a generated award id pattern or a numeric internal database id from a prior response, and it provides an example format.

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 uses a specific verb and resource: fetch full details for a single award by its generated_internal_id. It also distinguishes this detail-fetching operation from search_awards, which is named as the source of the id.

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?

It clearly tells the agent to use the generated_internal_id returned by search_awards to fetch the complete record. It gives strong positive guidance but does not explicitly describe when to use this instead of sibling detail tools such as get_award_funding or get_transactions.

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