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darshjoshi

Pitwall F1

by darshjoshi

Starting Tyres

analyze_starting_tires
Read-onlyIdempotent

Identify which tire compounds drivers used at the start of a Formula 1 race, based on year and Grand Prix.

Instructions

Analyze which tire compounds were used at race start.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
gpYes
yearYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

C2.7/5.0
Behavior2/5

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 fully covered. The description adds no behavioural context of its own (no scoping to a session type, no notes on what 'start' means, no indication of aggregation or granularity), so it contributes nothing beyond the structured data.

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?

A single front-loaded sentence with no wasted words; the scope ('at race start') is stated immediately. It is efficient, though its brevity comes at the cost of the missing detail noted elsewhere.

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 the definition leaves real gaps: no differentiation from the cluster of tyre-related siblings, no parameter formats, and no behavioural notes. For a tool with 0% schema description coverage in a crowded tyre-tool namespace, this is under-specified.

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% and neither parameter is described in the schema or in the description. The description does not explain what 'year' and 'gp' accept (e.g. season year format, GP name vs. round number), so it fails to compensate for the coverage gap even though the parameter names are fairly intuitive.

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: analyzing which tire compounds were used at race start. This is clearer than most siblings, but it does not distinguish itself from closely related tools like compare_tire_compounds, get_tyre_strategy, or get_stint_analysis, which all touch tyre compound 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 use this tool versus the many neighbouring tyre tools (compare_tire_compounds, get_tyre_strategy, get_driver_tyre_detail, get_stint_analysis). The 'at race start' scoping is implicit in the purpose sentence but is not framed as a selection condition.

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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