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

Annotations already cover the safety profile (readOnly, idempotent, non-destructive, open-world), so the description's real contribution is 'Keyless' — an auth/access disclosure the annotations do not provide — plus the enumerated reasons agencies fail to appear (HTML with no data file, PDF-only, blocks automated clients). No rate-limit or freshness/caching behavior is disclosed, keeping it out of 5 territory.

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?

Front-loaded with the core answer ('What procurement-forecast coverage actually exists') and the em-dash list efficiently enumerates the three things returned. It is dense rather than padded, though the closing negative-case sentence is long and could be split for scanning.

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 carries the return-value burden and does so by naming the three payload components (wired agencies, per-agency row counts, unwired agencies with reasons). Combined with the keyless/access note and the when-to-call rule, an agent has everything needed to invoke and interpret it.

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 tool takes zero parameters (schema has an empty properties object and an empty example), so per the rubric the baseline is 4. Nothing in the description is needed to disambiguate arguments, and it does not waste words pretending otherwise.

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?

Names a specific resource (procurement-forecast coverage on the acquisition.gov forecast index) and states exactly what it returns: which agencies are wired, their row counts, and the reason each unwired agency is not covered. The negative-space framing ('agency absent from the search index has not been checked') makes it clearly distinct from forecast_search, which the description implicitly references.

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?

Gives an explicit pre-condition for calling it: 'Call this before concluding that an agency has no upcoming work,' which is a genuine when-to-use rule that prevents a false negative. It stops short of naming forecast_search or forecast_detail as the follow-on alternatives, so the routing is implied rather than spelled out.

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