f1_car_data
Retrieve Formula 1 car telemetry data from OpenF1 by supplying a session key and driver number.
Instructions
Get Formula 1 car telemetry data from OpenF1.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| session_key | Yes | ||
| driver_number | Yes |
Retrieve Formula 1 car telemetry data from OpenF1 by supplying a session key and driver number.
Get Formula 1 car telemetry data from OpenF1.
| Name | Required | Description | Default |
|---|---|---|---|
| session_key | Yes | ||
| driver_number | Yes |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are present, and the description does not disclose behavioral traits like read-only status, rate limits, or data freshness. The verb 'Get' implies a read operation, but this is not explicit. The description carries the full burden for behavioral transparency but fails to provide meaningful context.
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 a single sentence with no extraneous content, making it efficient. However, its brevity comes at the cost of completeness, as it omits essential details about usage and parameters.
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 two required parameters, no output schema, no annotations, and many sibling F1 tools, the description is insufficient for an agent to use the tool effectively. It fails to explain what the returned telemetry contains or how to construct a valid request.
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 0% schema description coverage, the description must compensate but does not. The parameters 'session_key' and 'driver_number' are not explained, despite being required. The description adds no meaning beyond what the schema's types (number) reveal, leaving agents to guess their semantics.
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 states 'Get Formula 1 car telemetry data from OpenF1,' which clearly identifies the tool's purpose as retrieving telemetry data. However, it does not specify what telemetry fields are included (e.g., speed, throttle), limiting clarity compared to more detailed alternatives. It distinguishes from siblings like f1_laps or f1_positions by explicitly mentioning 'car telemetry 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 other F1 tools such as f1_laps, f1_pit_stops, or f1_weather. The description lacks any context for selection or exclusion, leaving the agent to infer usage solely from the name and schema.
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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