List Weather Logs

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

Annotations already declare readOnlyHint and idempotentHint, indicating a safe, non-destructive operation. The description adds value by disclosing pagination behavior (page/per_page, pagination metadata) and the default date behavior (current date if no parameters). This context enhances transparency beyond the 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 well-structured: begins with the core function, then filtering guidance, usage notes, return format, pagination details, required parameters, and API reference. It is front-loaded with the main purpose. While not extremely concise, it earns its length by covering essential points efficiently.

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 9 parameters, comprehensive schema, and no output schema, the description covers key behaviors: default date, pagination, and filtering. It references external documentation for deeper context. A minor gap is not describing response field names, but the pagination metadata mention and link to docs mitigate this. Overall, it provides sufficient context for tool selection.

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 coverage is 100%, so baseline is 3. The description adds significant semantic context: it explains that omitting date parameters defaults to the current date, and mentions that log_date, start_date, and end_date can filter the response. This is directly useful for agent understanding beyond the schema 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 weather logs for the current date with optional date filtering, and mentions pagination. It specifies the resource ('Weather Logs') and the action ('Returns'), making the purpose clear. However, it does not explicitly differentiate from the sibling tool 'list_weather_logs_project_v1_0', which is a minor gap.

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 provides explicit use cases: 'enumerate Daily Log records when you need a paginated overview, to find IDs, or to filter by query parameters.' It also references documentation for detailed filtering. It does not state when not to use or name alternatives, but the given guidance is sufficient for a list tool.

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