get_weather_details

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

With no annotations, the description alone must convey behavior. It indicates the output is structured JSON and intended for analysis, but does not disclose specifics like data fields, potential errors, or rate limits. The lack of behavioral details leaves the agent with incomplete expectations.

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 concise with only two sentences, front-loading the core purpose. Every sentence serves a clear purpose without redundancy or fluff.

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 two well-documented parameters and no output schema, the description is complete enough for basic usage. It would benefit from mentioning output structure (e.g., JSON fields) but is not critically lacking given the schema's thoroughness.

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 input schema provides complete descriptions for both parameters (city and include_forecast) with 100% coverage. The description adds no additional semantic value beyond what the schema already offers, so a baseline score of 3 is 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?

The description clearly states the tool provides detailed weather information as structured JSON data, using specific verbs ('get', 'provides') and specifying the resource (weather data). However, it does not explicitly distinguish itself from sibling tools like 'get_current_weather', which may also return weather data.

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?

No guidance is provided on when to use this tool versus alternatives like 'get_current_weather' or 'get_weather_byDateTimeRange'. The description implies it is for programmatic analysis but does not state exclusions or context.

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