Skip to main content
Glama
KerkhofMe
by KerkhofMe

get_segment

Retrieve detailed information about a specific Strava segment using its segment ID to analyze performance data and segment characteristics.

Instructions

Get detailed information about a specific Strava segment

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
segment_idYesThe Strava segment ID

Implementation Reference

  • The handler implementation for the 'get_segment' tool.
    server.tool(
      "get_segment",
      "Get detailed information about a specific Strava segment",
      {
        segment_id: z.number().describe("The Strava segment ID"),
      },
      async ({ segment_id }) => {
        const segment = await stravaFetch(`/segments/${segment_id}`);
        return {
          content: [{ type: "text", text: JSON.stringify(segment, null, 2) }],
        };
      }
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It states the tool retrieves 'detailed information' but doesn't specify what that includes (e.g., metadata, statistics), whether it's a read-only operation, or any rate limits or authentication needs. This leaves significant gaps for a tool that likely interacts with an external API.

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, direct sentence that efficiently conveys the core purpose without any fluff or redundancy. It is front-loaded and appropriately sized for the tool's simplicity, making it easy for an agent to parse quickly.

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?

Given the tool's low complexity (1 parameter, no nested objects) and high schema coverage, the description is minimally complete. However, with no annotations or output schema, it lacks details on behavioral traits and return values, which could hinder an agent's understanding of what 'detailed information' entails or how to handle the response.

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?

The input schema has 100% description coverage, with the single parameter 'segment_id' clearly documented as 'The Strava segment ID'. The description adds no additional semantic context beyond this, such as format examples or constraints, so it meets the baseline for adequate but unenhanced parameter documentation.

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 verb ('Get') and resource ('detailed information about a specific Strava segment'), making the purpose evident. However, it doesn't explicitly differentiate from sibling tools like 'get_starred_segments' or 'get_activity_streams', which might also retrieve segment-related data, so it misses the highest score.

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 provides no guidance on when to use this tool versus alternatives. It doesn't mention prerequisites, such as needing a valid segment ID, or compare it to siblings like 'get_starred_segments' for broader segment queries, leaving the agent with minimal context for selection.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/KerkhofMe/StravaMCP'

If you have feedback or need assistance with the MCP directory API, please join our Discord server