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darshjoshi

Pitwall F1

by darshjoshi

Lap Times

get_lap_times
Read-onlyIdempotent

Retrieve lap-by-lap times for one or all drivers, filterable by a specific lap range, to analyze race pace or compare stints.

Instructions

Get lap-by-lap times for one or all drivers. Filterable by lap range.

Args: year: Season year race: Race name (partial match) driver: Driver TLA (e.g. 'VER') or empty for all session_type: Session type lap_start: First lap to include lap_end: Last lap to include

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
raceNo
yearNo
driverNo
lap_endNo
lap_startNo
session_typeNoRace

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

B3.1/5.0
Behavior2/5

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

Annotations already declare readOnlyHint, idempotentHint, openWorldHint, and destructiveHint=false, so the safety profile is fully covered. The description adds no behavioral context beyond that — no note on data source, rate limits, or how sparse/missing laps are handled. It essentially restates the parameter contract.

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 leading sentence is front-loaded and the Args block is scannable. Slight redundancy: several entries ('year: Season year', 'lap_start: First lap to include') merely echo the schema titles without adding much.

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

Completeness3/5

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

An output schema exists, so return format need not be explained. However, with 6 parameters at 0% schema coverage and an unconstrained session_type string, the description should specify accepted session values and default behavior; as written an agent must guess them.

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 description coverage is 0% across 6 parameters, so the description carries the burden and largely delivers: it explains 'partial match' for race, TLA format and empty-for-all for driver, and inclusive lap boundaries. It omits valid session_type values and the schema defaults (year=2026, lap_end=999).

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

Purpose4/5

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

States a specific verb and resource ('Get lap-by-lap times') plus scope ('one or all drivers') and a filter dimension ('lap range'). It is clear what the tool returns, but it never distinguishes itself from close siblings such as get_lap_times_fastf1, get_live_lap_times, or get_team_laps.

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

Usage Guidelines2/5

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

No when-to-use guidance and no alternatives named. An agent cannot tell from the description when this historical lap-times tool should be preferred over get_lap_times_fastf1 or get_live_lap_times, even though both are siblings.

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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