openf1_weather

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

With no annotations, the description carries full burden. It discloses update frequency and return fields, but does not explain parameter effects (meeting_key, session_key), data scope (current vs historical), or error/limit behaviors. Adds some value but lacks depth.

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 sentences, front-loaded with purpose and key data, followed by return format. No extraneous information. Highly efficient.

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 2 parameters, no output schema, and no annotations, the description should explain parameter usage and data retrieval context. It only provides return structure and frequency, missing crucial how-to-filter information.

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?

Input schema has 2 optional parameters with 0% description coverage. The description does not mention these parameters, leaving their purpose completely unexplained. No value added beyond schema.

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's purpose: 'Track weather' with specific data points (air/track temperature, humidity, pressure, wind, rainfall) and update frequency (~once a minute). It is distinct from sibling tools like openf1_car_data or openf1_laps, which focus on other F1 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 explicit guidance on when to use this tool versus alternatives (e.g., other openf1 tools). The update frequency is mentioned but context for usage (e.g., only for live sessions, historical data) is absent.

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