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darshjoshi

Pitwall F1

by darshjoshi

Speed Traps

get_speed_traps
Read-onlyIdempotent

Fetch Formula 1 speed trap readings at four measurement points (I1, I2, FL, ST) per driver by season, race, and session to compare straight-line speed.

Instructions

Get speed trap readings at 4 measurement points (I1, I2, FL, ST) per driver.

Args: year: Season year race: Race name (partial match) session_type: Session type

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
raceNo
yearNo
session_typeNoRace

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

B3.2/5.0
Behavior3/5

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

Annotations already declare readOnly, idempotent, openWorld, and non-destructive, so the safety profile is covered. The description adds the useful detail that output is four measurement points per driver, but says nothing about permissions, rate limits, or scoping.

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?

Purpose is front-loaded in the first sentence, followed by a compact Args list. It is appropriately sized with little filler, though the trailing parameter block is lean rather than informative.

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 values need not be explained, and annotations cover the safety profile. The gap is that it never positions itself against the many speed-trap-adjacent siblings or clarifies live-vs-historical scope for a 3-parameter tool.

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

Parameters3/5

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

Schema description coverage is 0%, so the description is the only source of parameter meaning. It lists all three params and usefully notes that 'race' is a partial match, but 'Season year' and 'Session type' are tautological restatements and no valid session_type values are enumerated.

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?

Clear verb 'Get' plus a specific resource ('speed trap readings') and detail on the four measurement points (I1, I2, FL, ST) per driver. It does not, however, distinguish itself from closely named siblings like get_live_speed_trap or get_speed_trap_comparison, so an agent must infer this is the batch/historical variant.

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, prerequisites, or alternatives are given. The Args block only restates parameter names and never tells the agent when this tool should be chosen over get_live_speed_trap or get_speed_trap_comparison.

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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