List Weather Logs

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

Beyond annotations (readOnlyHint, idempotentHint, etc.), the description adds value by disclosing default date behavior (current date if no date params), pagination metadata, and link to documentation. No contradictions with annotations.

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 composed of focused sentences, each providing critical information. It is front-loaded with the main purpose and efficiently covers usage, parameters, and endpoint details 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?

For a tool with 7 parameters, no output schema, and no nested objects, the description covers the essential behavior, default behavior, pagination, and required parameter. It references external documentation for filtering, which compensates for the lack of output schema.

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?

With 100% schema coverage, baseline is 3. The description adds meaning by explaining the interaction of log_date, start_date, and end_date parameters, as well as pagination controls (page, per_page). This goes beyond the schema's individual parameter descriptions.

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 states the tool returns all Weather Logs for the current date, with specific details about filtering and pagination. It explicitly names the endpoint and required parameter, distinguishing it from similar tools by version and resource.

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 explains when to use the tool (enumerate Daily Log records, find IDs, filter by query parameters) and mentions pagination. It does not explicitly state when not to use it or provide alternatives, but the context is clear for an AI agent.

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