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HAPI Strava MCP Server

Get Equipment

getGearById
Read-only

Get Equipment - Returns an equipment using its identifier.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYes

TDQS

B3.3/5.0
Behavior2/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false, covering the read-only safety. The description adds no behavioral context beyond restating that it returns equipment—no mention of error conditions, availability of the equipment, or relationship to the logged-in athlete. It does not contradict annotations, but adds zero value beyond them.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single sentence and short, but it redundantly repeats the title 'Get Equipment' before stating the function. This wastes words without adding information. A cleaner structure would drop the prefix and simply say 'Returns an equipment using its identifier.'

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

Completeness4/5

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

The tool is a simple getter with one parameter, clear annotations, and no output schema. The description sufficiently conveys purpose and the identifier parameter. Missing details like return format or error behavior are minor and not essential for a basic lookup, so the description is reasonably complete for its simplicity.

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

Parameters2/5

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

With 0% schema description coverage, the description had the burden to explain the 'id' parameter. It merely calls it an 'identifier', which is redundant with the parameter name 'id'. It does not explain what kind of identifier (e.g., string format, where to find it), so the parameter semantics remain minimally defined.

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 action ('Returns') and the resource ('an equipment'), specifying the lookup mechanism ('using its identifier'). This distinguishes it from sibling tools focused on clubs, segments, routes, and athletes, making the purpose unambiguous.

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

Usage Guidelines3/5

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

Usage is implied by the name and description: it is for retrieving equipment by ID. However, there is no explicit guidance on when to use this tool over alternatives, such as scenarios where an athlete's gear list is needed or how to obtain the ID. For a simple getter, basic implied usage is acceptable but lacks explicit direction.

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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TDQS

A3.7/5.0
Disambiguation5/5

Each tool targets a distinct resource and operation: segments, clubs, gear, athlete, routes, and stats. Even potentially similar tools like getEffortsBySegmentId and getSegmentEffortById are clearly differentiated by their descriptions (listing efforts vs. fetching a single effort).

Naming Consistency5/5

All tool names follow a consistent camelCase pattern with a verb (get, explore) followed by a specific noun phrase. Names like getClubById, getLoggedInAthlete, and getStats are uniform and predictable, making it easy to infer their purpose.

Tool Count5/5

With 13 tools, the server is well-scoped for a focused read-only API over Strava data. The count is within the ideal range and each tool covers a meaningful aspect of the domain without redundancy or bloat.

Completeness3/5

The tool surface covers several Strava domains (clubs, segments, gear, routes, athlete stats) but is missing any activity-related operations (e.g., list activities, get activity by ID) and all write operations. This creates notable gaps for a comprehensive Strava integration, though the read-only scope may be intentional.