TrackLab MCP Ultimate Edition

get_athlete_profile

Fetches athlete profile with LTHR, LT Pace, VDOT, and body metrics to support data-driven coaching decisions.

Instructions

Fetches athlete profile, LTHR, LT Pace, VDOT, and body metrics.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "get_athlete_profile"
  }
}

Input Schema

Name	Required	Description	Default
No arguments

Schema Changelog

Changes observed during successful MCP inspections.

First observedv1.0.0Aug 7, 2026

TDQS

A3.6/5.0

Behavior2/5

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

No annotations are provided, so the description bears full responsibility for behavioral disclosure. It only lists the data fields returned and does not explicitly state read-only behavior (though 'fetches' implies it), authentication needs, error handling, or caching. This is minimal transparency for a getter.

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?

The description is a single, front-loaded sentence that lists the data categories compactly. Every word contributes to defining the tool, with no redundancy or filler.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a parameter-less fetch tool with no output schema, the description lists the key data categories (profile, LTHR, LT Pace, VDOT, body metrics), giving a reasonable expectation of the return. However, it does not specify units, formatting, or whether some metrics might be absent, keeping it from a perfect score.

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?

The tool has zero parameters, confirmed by the empty input schema. The description correctly does not invent parameters, so the baseline score of 4 applies.

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

Purpose5/5

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

The description uses the verb 'Fetches' and specifies the resource ('athlete profile') plus distinct data categories (LTHR, LT Pace, VDOT, body metrics). This clearly differentiates it from sibling tools like get_hr_zones or get_pace_zones, which focus on narrower subsets, making its purpose unmistakable.

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?

The description offers no guidance on when to use this tool versus alternatives like get_hr_zones, get_pace_zones, or calculate_vdot. There is no mention of exclusions, prerequisites, or preferred scenarios, leaving the agent to guess.

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