Skip to main content
Glama
Arbodgad

strava-openapi-mcp

by Arbodgad

get_explore_segments

Find top 10 Strava segments within a geographic bounding box. Filter by activity type and climbing category to discover popular running or riding routes.

Instructions

Explore segments

Endpoint: GET /segments/explore

Description: Returns the top 10 segments matching a specified query.

Read-only operation.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
boundsYesThe latitude and longitude for two points describing a rectangular boundary for the search: [southwest corner latitutde, southwest corner longitude, northeast corner latitude, northeast corner longitude]
max_catNoThe maximum climbing category.
min_catNoThe minimum climbing category.
activity_typeNoDesired activity type.
Behavior4/5

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 explicitly states 'Read-only operation' and discloses the 'top 10' result limit, which are key behavioral traits beyond just returning segments. It does not mention authentication or other potential side effects, but for a read-only operation these are minor gaps.

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?

The description is short and to the point, containing only the necessary information: a title, endpoint reference, return behavior, and read-only flag. The structure is clean but includes some redundancy ('Explore segments' title vs. description), and the read-only note is placed last. Overall, it is efficient with no wasted sentences.

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?

The description conveys the core purpose and the read-only nature, but it omits details about the return format (e.g., that it returns segment summaries, not full segment details) and any potential errors or edge cases. Given the absence of an output schema, a bit more context on what the response contains would be helpful. It is adequate but not complete.

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% parameter description coverage, including bounds, min_cat, max_cat, and activity_type. The tool description does not add any additional parameter meaning—it only vaguely refers to 'a specified query', which is less informative than the schema itself. Baseline 3 applies because the schema already documents parameters well.

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 it returns the top 10 segments matching a query, which is a specific verb+resource with a scope. It identifies the tool as an exploration/search endpoint, distinguishing it from segment-specific tools like get_segment_by_id. However, it does not explicitly name an alternative, so it falls short of a 5.

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?

There is no explicit guidance on when to use this tool versus alternatives like get_segment_by_id or other segment-related endpoints. The phrase 'matching a specified query' implies a search use case, but no when/when-not conditions or alternative recommendations are given, leaving the agent to infer usage from context.

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/Arbodgad/strava-openapi-mcp'

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