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

No annotations are provided, so the description carries the full burden of behavioral disclosure. The verb 'Check' implies a read-only operation, but the description does not explicitly state that there are no side effects, what data is examined, or what the response represents. This is a significant gap for a tool with no annotation support.

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 sentence that is direct and front-loaded with the core action. Every word contributes to the purpose, and there is no fluff or redundant information.

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 and no annotations, the description must explain enough for correct invocation and interpretation. It does not describe what output to expect, what 'coverage' means in quantitative terms, or how to use the parameters. The sibling ambiguity with 'coverage_status' further reduces completeness.

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%, and the description does not explain the 'from' and 'to' parameters. The names suggest a range, but there is no mention of expected format (dates, timestamps, coordinates) or how they relate to observation coverage. The description fails to compensate for the schema gap.

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 states a specific action ('Check observation coverage') and the context (before buying a NOT_OBSERVED proof). It is not a tautology of the name and implies a verification workflow. However, it does not explicitly differentiate from the sibling 'coverage_status', so some ambiguity remains.

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 gives a clear trigger: use this before purchasing a NOT_OBSERVED proof. This communicates when the tool is appropriate. It does not provide exclusions or mention alternative tools, but the stated use case is a practical guideline in itself.

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