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TrainingPeaks MCP Server and API by Cotlet

List calendar workouts in TrainingPeaks

trainingpeaks_list_calendar_workouts
Read-onlyIdempotent

List calendar workouts in the user's own TrainingPeaks account from ChatGPT, Claude or any AI agent. Returns how to do it in TrainingPeaks step by step (screens, buttons, fields) and opens nothing by itself; then do it with the cotlet_browser_* tools in the user's TrainingPeaks Cloud Browser. TrainingPeaks's official API: TrainingPeaks has an API, but only approved commercial partners get it, and it is not available for personal use (checked 5 Nov 2026).

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": "trainingpeaks_list_calendar_workouts"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false, and openWorldHint=false, so the safety bar is low. The description adds genuinely useful context beyond them: it discloses the return shape (screens, buttons, fields) and states explicitly that the tool "opens nothing by itself," preventing an agent from assuming a side effect occurs. It does not explain whether the guide is versioned or cached, which is a minor remaining gap.

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?

It is front-loaded with the action and the follow-on mechanism in the first two sentences. The closing API note is slightly long and the phrase "from ChatGPT, Claude or any AI agent" is filler, but the API paragraph earns its place by justifying why browser automation is required.

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 zero-parameter, fully annotated, read-only tool with no output schema, the description covers what an agent needs: what it returns, that it performs no action, and which tools execute the work. Only the exact granularity of the returned steps is left unspecified.

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 takes zero parameters, which is the baseline-4 case. There is nothing for the description to disambiguate, and it correctly implies no inputs are needed before the browser steps begin.

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 and resource (list calendar workouts) and scopes it to "the user's own TrainingPeaks account," which separates it from coaching-wide siblings like trainingpeaks_list_athletes. The second sentence corrects the natural reading by stating the tool returns step-by-step instructions rather than the workout data itself, so the agent can tell what it actually gets, though the verb "List" still creates a moment of ambiguity.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

It clearly states the follow-on path: call this, then perform the steps with the cotlet_browser_* tools in the TrainingPeaks Cloud Browser. It also rules out the official API path with a concrete reason (approved commercial partners only, not for personal use). It does not explicitly contrast with trainingpeaks_get_workout_details or other TrainingPeaks siblings, so the routing guidance is clear but not exhaustive.

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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