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f1_head_to_head_pace

Read-onlyIdempotent

Compare lap-time pace distribution between two F1 drivers in a session to identify which driver has a faster average pace.

Instructions

Compare lap-time pace distribution between two 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: {driver_a_avg_s, driver_b_avg_s, delta_s, faster_driver}. meta.estimated: true.

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 indicate readOnly, idempotent, and non-destructive behavior. The description adds that the tool returns estimated averages and delta (meta.estimated: true), disclosing approximation. It also specifies the output structure (avg_s, faster_driver), which goes beyond the annotations. No contradictions.

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

Conciseness4/5

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

The description is concise: a single purpose sentence followed by Args and Returns. It is front-loaded with the key function. However, the Args section partially duplicates schema descriptions, which is slightly redundant. Still clear and efficient.

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?

Given that an output schema exists (implied by context signals), the description does not need to detail return values. It adequately covers inputs, purpose, and estimation hint. Minor gaps: no mention of error handling or driver existence checks, but acceptable for a simple comparison tool.

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

Parameters3/5

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

Schema description coverage is 100%—each parameter has a clear description identical to the tool description's Args section. The description adds no new semantic value beyond what the schema provides (e.g., no ranges, examples, or constraints). Baseline 3 due to full schema coverage.

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 clearly states the action ('Compare lap-time pace distribution') and the specific resource ('between two drivers in a session'). It is distinct from sibling F1 tools like 'f1_get_lap_times' (raw times) and 'f1_race_pace_compare' (possibly different scope). The verb 'Compare' precisely conveys the tool's function.

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 does not provide explicit guidance on when to use this tool versus alternatives (e.g., 'f1_race_pace_compare'). The purpose is clear, but no when-not-to-use or preferred scenarios are mentioned. Usage must be inferred from the tool name and purpose.

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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