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juanlarreapm

Strava MCP Server

by juanlarreapm

explore_segments

Find top 10 Strava running or cycling segments within specified geographic bounds, filtered by activity type and climb category.

Instructions

Explore segments in a given area. Returns the top 10 segments matching the search criteria.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
boundsYesComma-separated string of coordinates: sw_lat,sw_lng,ne_lat,ne_lng (e.g., '37.7,-122.5,37.8,-122.4')
activity_typeNoActivity type: 'running' or 'riding'
min_catNoMinimum climb category (0-5)
max_catNoMaximum climb category (0-5)
Behavior2/5

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

With no annotations, the description carries full burden but provides minimal behavioral details. It mentions returning 'top 10 segments' (useful context on result limit) but doesn't disclose other traits like rate limits, authentication needs, error handling, or what 'top' means (e.g., by popularity, difficulty). This is inadequate for a search tool with zero annotation coverage.

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 concise with two sentences that efficiently state purpose and result limit. It's front-loaded with the main action. However, it could be slightly more structured by explicitly mentioning the search criteria, but overall it's well-sized with minimal waste.

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 lacks details on return format (e.g., what data fields segments include), error cases, or behavioral constraints. For a search tool with 4 parameters, this leaves significant gaps in understanding how to effectively use it.

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%, so the schema fully documents all parameters (bounds, activity_type, min_cat, max_cat). The description adds no additional meaning beyond implying search criteria, which is already covered by the schema. 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 ('explore segments') and resource ('in a given area'), specifying it returns top 10 matching segments. It distinguishes from siblings like 'get_segment' (single segment) and 'list_starred_segments' (user-specific), though not explicitly. However, it doesn't fully differentiate from 'get_segment_efforts' which might involve segments, making it a 4 rather than 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?

No guidance on when to use this tool versus alternatives is provided. It doesn't mention when to prefer 'explore_segments' over 'get_segment' for multiple segments or 'list_starred_segments' for user-specific ones. The description implies search functionality but lacks explicit usage context or exclusions.

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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