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darshjoshi

Pitwall F1

by darshjoshi

Analyze Braking Points

analyze_brake_points
Read-onlyIdempotent

Analyze braking patterns on a Formula 1 qualifying lap to compare brake points by year, Grand Prix, driver, and optional session.

Instructions

Analyze braking patterns on fastest lap.

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

C2.7/5.0
Behavior3/5

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

Annotations already declare a safe read profile (readOnlyHint, idempotentHint, non-destructive, openWorld). The description adds one behavioral fact beyond that – the analysis is scoped to the fastest lap – but says nothing about how that lap is selected, output form, or data sources. With annotations carrying the safety profile, this is adequate but thin.

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

Conciseness3/5

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

A single front-loaded sentence with no waste, but its brevity stems from under-specification rather than efficient communication. It is neither padded nor harmful, just minimal.

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, but for a 4-parameter analysis tool with 0% schema coverage the description omits parameter semantics and usage context entirely, leaving it inadequate for correct invocation.

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

Parameters1/5

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

Schema description coverage is 0% across 4 parameters (year, gp, driver, session), so the description must compensate and does not. It explains no parameter meaning, format, or the meaning of the session default 'Q', leaving all four parameters undocumented.

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 names a specific verb+resource ('Analyze braking patterns') and adds a scope qualifier ('on fastest lap'), so an agent knows broadly what it does. However, it does not distinguish itself from sibling analyze tools such as analyze_rpm_data or analyze_drs_usage, so sibling differentiation is absent.

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 when-to-use guidance, no prerequisites, and no mention of alternatives (e.g., get_telemetry or plot_telemetry_comparison). The agent is left to infer the tool's role entirely.

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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