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banananovej-chuan

TrainingPeaks MCP Server

tp_get_planned_workouts

Retrieve upcoming planned workouts from TrainingPeaks. Filter by date range and workout type to get scheduled duration, distance, TSS, and coach comments.

Instructions

Get upcoming planned workouts from TrainingPeaks.

Args: start_date: Start date (YYYY-MM-DD). Defaults to today. end_date: End date (YYYY-MM-DD). Defaults to 14 days from now. workout_type: Filter by type (e.g. "Bike", "Run", "Swim", "Strength"). limit: Maximum number of workouts to return (default 20).

Returns planned workouts with date, type, planned duration/distance/TSS, workout instructions, and coach comments. Sorted chronologically (nearest first). The TP API limits requests to 90 days at a time.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
start_dateNo
end_dateNo
workout_typeNo
limitNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior5/5

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

With no annotations provided, the description fully discloses behavior: returns specific fields (date, type, duration/distance/TSS, instructions, comments), chronological sorting, and a 90-day API limit.

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 concise, using a clear structure with an Args block and Returns list, every sentence adds value without redundancy.

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

Completeness5/5

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

Given 4 parameters, no required/ enums, and an output schema present, the description is complete: it explains parameters, return fields, sorting, and limitation, sufficient for an agent to invoke correctly.

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

Parameters5/5

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

Schema coverage is 0%, so the description compensates by explaining each parameter: start_date/end_date as date strings, workout_type with examples, and limit with default value, adding meaning beyond bare schema.

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 clearly states the verb 'Get' and the resource 'upcoming planned workouts from TrainingPeaks', distinguishing it from siblings like tp_get_workouts (completed workouts) and tp_get_workout (single workout).

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?

The description explains default dates, sorting, and API limits, providing clear usage context but does not explicitly exclude alternatives like tp_get_workouts for completed workouts.

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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