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f1_race_pace_compare

Read-onlyIdempotent

Compare race-pace and tyre degradation between two F1 drivers in a session. See which driver is faster overall and by compound.

Instructions

Compare race-pace and tyre degradation between two F1 drivers in a session.

Args: session_key: OpenF1 session identifier. driver_a: First driver's race number. driver_b: Second driver's race number.

Returns: data: {by_compound, overall_faster, compounds_compared}. meta.estimated: true — degradation model fit, not official timing.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
driver_aYesFirst driver's race number.
driver_bYesSecond driver's race number.
session_keyYesOpenF1 session identifier.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataNo
metaNo
errorNo
Behavior4/5

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

Annotations already declare readOnlyHint, destructiveHint false, and idempotentHint true. The description adds valuable behavioral context by stating that 'meta.estimated: true — degradation model fit, not official timing,' indicating the output is a model estimate. No contradictions with annotations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is very concise: three lines for the overall purpose, then Args and Returns sections. Every sentence is necessary, no redundancy. The structure is clear and easy to parse.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a tool that compares two drivers per session and returns compound-wise data, the description provides key context: it's an estimated model, not official timing. The return structure hints at the data shape. Given that an output schema exists (not shown), the description is sufficient but could elaborate on what 'overall_faster' and 'compounds_compared' imply.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100% with each parameter having a description. The description adds structure by listing parameters and their types in the Args block, and clarifies the return shape with a brief outline of the data fields. This goes beyond the schema by providing a high-level view of what the output contains.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description uses a specific verb ('Compare') and clearly identifies the resource ('race-pace and tyre degradation between two F1 drivers in a session'). It distinguishes from siblings like f1_tyre_degradation and f1_head_to_head_pace by focusing on pairwise comparison with compound breakdown.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description states the function's purpose but does not provide explicit guidance on when to use this tool versus alternatives such as f1_head_to_head_pace. No when-not-to-use or prerequisite conditions are mentioned, leaving the agent to infer usage context.

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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