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Glama

HAPI Strava MCP Server

Get Authenticated Athlete

getLoggedInAthlete
Read-only

Get Authenticated Athlete - Returns the currently authenticated athlete. Tokens with profile:read_all scope will receive a detailed athlete representation; all others will receive a summary representation.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

TDQS

A4.4/5.0
Behavior4/5

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

Annotations already mark this as a safe read operation. The description adds useful context about scope-dependent response detail (summary vs. detailed), which is not present in the annotations. This goes beyond the bare read-only hint.

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 concise and front-loaded, with no wasted words. Every sentence adds value: the first states the core action, the second adds an important scope-based nuance.

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?

There is no output schema, so the description must convey what the tool returns. It explains that a detailed or summary representation is returned based on scope, which is the key behavior. It could elaborate on what each representation contains, but for a zero-parameter tool, it is adequately complete.

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

Parameters4/5

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

The tool has zero parameters, so the schema is trivially complete. The description doesn't need to explain parameter semantics, and the baseline for zero parameters is 4.

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 tool returns the currently authenticated athlete, using a specific verb and resource. It distinguishes itself from sibling tools that target clubs, segments, gear, or routes.

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

Usage Guidelines4/5

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

The description provides clear context about when to use this tool (to get the authenticated athlete) and even notes that the output representation depends on OAuth scope. It doesn't explicitly name alternatives or exclusions, but the tool's focus is unambiguous enough.

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.