Skip to main content
Glama
PrimeGoose

f1-telemetry-mcp

by PrimeGoose

get_lap_times

Retrieve lap and sector times for every lap, with an option to exclude invalidated laps, so you can analyze race pace and compare stint performance.

Instructions

Lap and sector times for every lap.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
validOnlyNoExclude invalidated laps

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

C2.5/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full behavioral burden, and it discloses almost nothing: no read-only confirmation, no statement about invalidated laps, no return shape, no pagination. The existence of invalidated laps is only implied indirectly through the schema's validOnly parameter, not through the description.

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?

The single sentence is front-loaded and free of waste, but brevity here reflects under-specification rather than disciplined concision. It is short without being informative.

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?

With no annotations, no output schema, and only a terse noun phrase, the definition leaves key questions unanswered: what identifies the laps being fetched, what the return structure looks like, and whether invalidated laps are included by default. For a data-retrieval tool this is a notable gap.

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 coverage is 100% for the single parameter, so the schema already documents validOnly ('Exclude invalidated laps'). The description adds nothing about that flag or its default behavior, so the baseline 3 is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description identifies the resource (lap and sector times) and scope ('every lap'), but offers no verb and no differentiation from siblings like compare_laps or get_fastest_sector, which also return lap timing data. An agent can guess the purpose but cannot tell from the text how this differs from fetching fastest-sector or session-summary 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 when-to-use guidance, no mention of prerequisites (e.g., a session or driver identifier), and no route to alternatives among the siblings. The agent must infer the use case entirely.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.