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racehooks

@racehooks/mcp

Official

get_telemetry_laps

Retrieve per-lap telemetry aggregates—average and max speed, throttle, brake, DRS, and aggression index—for all drivers or filter by driver and lap.

Instructions

Get per-lap telemetry aggregates (avg/max speed, throttle, brake, DRS, aggression index). Returns all drivers by default. Filter with driverId or lapNumber. Requires Developer or higher.

Input Schema

NameRequiredDescriptionDefault
raceIdYesRace ID slug, e.g. '2026-bahrain-r1'.
driverIdNoFilter to a specific driver.
lapNumberNoFilter to a specific lap number.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A3.8/5.0
Behavior4/5

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

With no annotations, the description carries the full disclosure burden and does a reasonable job: it states the response shape (avg/max speed, throttle, brake, DRS, aggression index), the default fan-out across all drivers, and the Developer-tier auth requirement. It omits practical traits like result-size limits or pagination behavior when fetching all drivers, which keeps it out of the top band.

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?

Four short sentences, nothing redundant: purpose and payload first, then default behavior, then filtering, then access tier. Each sentence changes what the agent knows, and the ordering is front-loaded on the highest-value information.

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?

For a three-parameter read tool with no output schema, listing the aggregate fields is valuable and largely sufficient on the return side. The notable hole is sibling disambiguation: the tool set contains at least three other telemetry-lap tools, and the description gives no basis for choosing among them, which an agent calling this correctly would need.

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

Parameters4/5

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

Schema coverage is 100%, so all three parameters are already documented and the baseline is 3. The description adds genuine behavioral meaning on top: it makes explicit that omitting driverId returns every driver rather than an empty or error result, and frames driverId/lapNumber as filters, which clarifies how the optional params compose.

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 first sentence names a specific verb (Get) plus the resource scope (per-lap telemetry aggregates) and even enumerates the returned metrics, so an agent knows exactly what data comes back. It stops short of differentiating itself from near-identical siblings such as get_race_telemetry_laps and get_telemetry_driver_laps, which is a real ambiguity given the naming overlap.

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?

"Returns all drivers by default. Filter with driverId or lapNumber" documents the default and narrowing behavior, and "Requires Developer or higher" flags an access prerequisite. However, there is no guidance on when to pick this over get_telemetry_driver_laps or get_race_telemetry_laps, so the usage context is implied rather than resolved.

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