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Strava Clubs

strava_list_clubs
Read-onlyIdempotent

List clubs joined by the authenticated Strava athlete. Use pagination and date filters to locate specific clubs while privacy settings control data exposure.

Instructions

List clubs joined by the authenticated athlete.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pageNoStrava page number.
afterNoOnly return activities after this time. Converted to Strava epoch seconds.
limitNoStrava per_page value. Strava allows up to 200.
beforeNoOnly return activities before this time. Converted to Strava epoch seconds.
all_pagesNoFetch multiple pages up to max_pages.
max_pagesNoMaximum pages to fetch when all_pages is true.
privacy_modeNoOptional per-call privacy override. Defaults to STRAVA_PRIVACY_MODE or structured. raw returns upstream Strava JSON. summary removes GPS/map details.
response_formatNomarkdown
explicit_user_intentNoRequired true when privacy_mode=raw or include_gps=true (agent escalation of redaction).

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
countYes
recordsYes
endpointYes
has_moreYes
next_pageNo
privacy_modeYes
pages_fetchedYes
Install Server

TDQS

A3.6/5.0
Behavior3/5

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

Annotations already establish that this is read-only, idempotent, and non-destructive. The description adds the authenticated-athlete scoping, which is useful, but it does not disclose pagination behavior, response shape, or privacy-redaction effects beyond what the schema and output schema provide.

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?

A single, front-loaded sentence conveys the essential purpose with no filler. Everything present earns its place.

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?

For a read-only list tool, the rich annotations, high schema coverage, and presence of an output schema mean the description does not need to explain return values or safety. The main gap is the lack of usage guidance, but for tool selection the purpose is clear enough to invoke correctly.

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 89%, so the schema already documents nearly all parameter semantics. The description adds no parameter-level meaning, which is acceptable given the high schema coverage, but it also does not compensate for the small undocumented remainder.

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 states a specific verb ('List'), resource ('clubs'), and scope ('joined by the authenticated athlete'). It clearly distinguishes this tool from sibling list tools like strava_list_activities and strava_list_routes.

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 gives no guidance about when to use this tool versus alternatives, and it names no exclusions or competing tools. An agent must infer usage solely from the tool name and description.

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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