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darshjoshi

Pitwall F1

by darshjoshi

Plot Multi-Lap Telemetry

plot_multi_telemetry_comparison
Read-onlyIdempotent

Compare speed, throttle, brake, and gear traces between two laps for the same Formula 1 driver to spot performance differences.

Instructions

Compare full telemetry (speed, throttle, brake, gear) between two laps for same driver. Example: Compare first lap vs last lap for Piastri Brazil 2024

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
gpYes
lap1Yes
lap2Yes
yearYes
driverYes
sessionNoR

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataYes
typeYes
_metaNo
mimeTypeYes
annotationsNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

B3.3/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false, and openWorldHint=true, so the safety profile is covered. The description adds the telemetry channels compared and the same-driver scope, but does not add auth, rate-limit, or plotting behavior beyond what the title already implies.

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?

Two sentences, front-loaded with the tool's purpose and followed by a concrete example. There is no filler or redundancy.

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?

The output schema and annotations reduce the description's burden for return values and safety. However, with five required parameters and 0% schema description coverage, the description leaves gaps around parameter formats and the optional session field, making it adequate but incomplete.

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% for all six parameters, so the description must carry the burden. It partially maps to driver, year, gp, and two laps through the example, but it never explains the gp format, the session parameter (default 'R'), or the semantics of lap1/lap2 as integer lap numbers.

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?

The description gives a specific verb and resource: compare full telemetry (speed, throttle, brake, gear) between two laps for the same driver. This clearly distinguishes it from single-lap telemetry tools and from driver-vs-driver comparison tools, though it does not explicitly name the sibling alternatives.

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 example 'Compare first lap vs last lap for Piastri Brazil 2024' implies a usage scenario, but the description does not explicitly state when to use this tool versus plot_telemetry_comparison, plot_driver_telemetry_comparison, or get_telemetry. It gives implied guidance without exclusions or alternative-routing advice.

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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