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r-huijts

Strava MCP Server

by r-huijts

get-athlete-stats

Fetch activity statistics for a Strava athlete using their ID. Retrieve recent, year-to-date, and all-time performance data to analyze training progress.

Instructions

Fetches the activity statistics (recent, YTD, all-time) for a specific athlete using their ID. Requires the athleteId obtained from the get-athlete-profile tool.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
athleteIdYesThe unique identifier of the athlete to fetch stats for. Obtain this ID first by calling the get-athlete-profile tool.
Behavior3/5

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

No annotations are provided, so the description carries full burden. It mentions the prerequisite (athleteId requirement) which is useful context, but doesn't disclose other behavioral traits like rate limits, authentication needs, error conditions, or what the output format looks like (since no output schema exists).

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?

Two sentences with zero waste. The first sentence states purpose and scope, the second provides critical prerequisite information. Every word earns its place and the description is appropriately sized for a single-parameter tool.

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 read-only tool with 100% schema coverage but no annotations and no output schema, the description provides adequate purpose and usage guidance. However, it lacks information about return values (what the stats actually contain) and other behavioral context that would be helpful given the absence of structured output documentation.

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 description coverage is 100%, so the schema already documents the single parameter. The description adds value by explaining where to obtain the athleteId ('from the get-athlete-profile tool'), which provides practical guidance beyond the schema's technical specification.

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 specific action ('fetches') and resource ('activity statistics for a specific athlete'), specifying the types of statistics (recent, YTD, all-time). It distinguishes from siblings like 'get-athlete-profile' by focusing on stats rather than profile data.

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

Usage Guidelines5/5

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

Explicitly states when to use this tool ('for a specific athlete using their ID') and provides a prerequisite ('Requires the athleteId obtained from the get-athlete-profile tool'), clearly differentiating it from alternatives that don't require this ID or fetch different data types.

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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