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darshjoshi

Pitwall F1

by darshjoshi

Fastest Lap Data

get_fastest_lap_data
Read-onlyIdempotent

Retrieve sector times and speed-trap stats for a driver's top lap in a Formula 1 session. Filter by year, grand prix, driver, and optional session.

Instructions

Get detailed stats for a driver's fastest lap (Sector times, Speed trap).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
gpYes
yearYes
driverYes
sessionNoQ

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

C2.9/5.0
Behavior3/5

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

Annotations already declare the full safety profile (readOnly, idempotent, non-destructive, open-world), so the description is not required to re-state it. It adds modest value by disclosing the returned payload (sector times, speed trap), but says nothing about the session scope, the default session, or what happens when no fastest lap exists for the given driver/session.

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?

One front-loaded sentence with no filler, and the returned fields are placed immediately after the purpose. It is efficient, though brevity here edges toward under-specification rather than well-earned conciseness.

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

Completeness2/5

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

An output schema exists, so return values need not be explained, and the read-only annotations cover safety. What remains missing is any parameter meaning for a 4-parameter tool with zero schema documentation, especially the ambiguous session selector — an agent cannot reliably fill the arguments from this definition alone.

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

Parameters2/5

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

Schema description coverage is 0%, so the description must carry the burden and it does not: year, gp, driver, and session are never mentioned or explained. Most notably, the 'session' parameter defaults to 'Q' with no indication of allowed values (Q/R/S/FP1) or how the choice affects the result.

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 detailed stats for a driver's fastest lap') and names the payload contents (sector times, speed trap), so the agent knows exactly what is returned. However, it never differentiates itself from close siblings like get_fastest_sectors, get_speed_traps, or get_personal_best_laps, several of which return overlapping data.

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?

There is no guidance on when to prefer this tool over get_fastest_sectors, get_speed_traps, get_lap_times, or get_personal_best_laps, all of which sit in the same niche. The single parenthetical is descriptive, not a selection rule.

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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