Strava MCP Server

get-segment-effort

Retrieve detailed data about a specific Strava segment effort using its unique ID to analyze performance metrics and activity details.

Instructions

Fetches detailed information about a specific segment effort using its ID.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "effortId": "<effortId>"
    },
    "name": "get-segment-effort"
  }
}

Input Schema

Name	Required	Description	Default
`effortId`	Yes	The unique identifier of the segment effort to fetch.

Schema Changelog

Changes observed during successful MCP inspections.

First observedAug 18, 2025

TDQS

C2.9/5.0

Behavior2/5

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

No annotations are provided, so the description carries full burden. It states it 'fetches' information, implying a read-only operation, but doesn't disclose behavioral traits such as authentication requirements, rate limits, error handling, or what 'detailed information' entails (e.g., fields returned, format). This leaves gaps for safe and effective use.

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, efficient sentence that front-loads the core purpose ('fetches detailed information') without unnecessary words. Every part earns its place, making it easy to parse quickly.

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

Completeness2/5

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

Given no annotations and no output schema, the description is incomplete. It doesn't explain what 'detailed information' includes (e.g., fields like time, distance, athlete details), which is critical for a tool with one parameter and no structured output documentation. This leaves significant gaps for an agent to understand the tool's behavior and results.

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

Parameters3/5

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

Schema description coverage is 100%, with the parameter 'effortId' well-documented in the schema. The description adds minimal value beyond the schema by mentioning 'using its ID', which aligns with but doesn't expand on the schema's description. Baseline 3 is appropriate as the schema does the heavy lifting.

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 description clearly states the action ('fetches detailed information') and resource ('about a specific segment effort using its ID'), which distinguishes it from siblings like 'list-segment-efforts' (plural listing) and 'get-segment' (segment vs. segment effort). However, it doesn't specify what 'detailed information' includes, leaving some ambiguity.

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?

No explicit guidance on when to use this tool versus alternatives is provided. It doesn't mention prerequisites (e.g., needing an effort ID from 'list-segment-efforts'), contrast with 'get-segment' (which fetches segment metadata), or specify use cases like retrieving performance data for analysis.

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