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

With no annotations, the description carries the full burden and does well: it discloses that entries can be revised or cancelled (volatility), that the data is planning-grade rather than authoritative, and that a BidCatch intel key is required (auth prerequisite). It stops short of return format, pagination, or behavior for agencies with no forecast.

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 compact sentences, front-loaded with the core purpose before the data-quality caveat and auth requirement. Every clause carries information; nothing is redundant.

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?

For a one-parameter read tool with no output schema, the description covers purpose, the shape of returned entries, data reliability caveats, and the auth requirement — enough for an agent to call it correctly. Only pagination/result-size behavior is left unaddressed.

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% for the single 'agency' parameter, including an example ('Interior', 'Veterans'), so the schema already does the work. The description adds no syntax, matching, or format guidance beyond what the schema provides, making the baseline 3 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 ('List') and resource ('an agency's published procurement forecast') and even unpacks what a forecast entry contains (planned contract actions, estimated values, timelines). It is clearly distinct from siblings like get_award_history and get_protest_record by resource, though it never names an alternative to differentiate explicitly.

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 a use case (planning-stage procurement research) but gives no explicit when-to-use or when-not-to-use guidance, and does not route the agent between this tool and search_bids or get_recompete_radar. 'Planning-grade data' hints at the context but is a data-quality caveat, not usage guidance.

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