f1_pit_stops
Obtain Formula 1 pit stop data from OpenF1 for a session, optionally filtered by driver number.
Instructions
Get Formula 1 pit stop data from OpenF1.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| session_key | Yes | ||
| driver_number | No |
Obtain Formula 1 pit stop data from OpenF1 for a session, optionally filtered by driver number.
Get Formula 1 pit stop data from OpenF1.
| Name | Required | Description | Default |
|---|---|---|---|
| session_key | Yes | ||
| driver_number | No |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description must convey behavioral traits but only states the data source (OpenF1). It omits whether the operation is read-only, how results are paginated, or error handling.
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 at 7 words, but the extreme brevity sacrifices necessary detail. It is front-loaded but lacks structure beyond a single clause.
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 no output schema and the need to integrate with other F1 tools (e.g., f1_sessions for session_key), the description is incomplete. It does not specify return format or how to obtain required parameters.
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%, yet the description provides no explanation for the parameters (session_key and driver_number). Users must infer their meaning from external knowledge.
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 retrieves Formula 1 pit stop data from OpenF1, using a specific verb and resource. It distinguishes the tool from siblings like f1_laps or f1_car_data by focusing on pit stops, but it misses details on what pit stop data entails.
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 over alternatives, such as f1_laps or f1_sessions. No prerequisites or context for the required session_key are mentioned.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
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