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gcoombe
by gcoombe

get_activity_kudos

Retrieve kudos for a specific Strava activity using its ID, with options to paginate through results for efficient data access.

Instructions

Get kudos for an activity

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesActivity ID
pageNoPage number (default: 1)
per_pageNoNumber of items per page (default: 30)
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. 'Get kudos' implies a read-only operation, but it doesn't specify whether authentication is required, if there are rate limits, what the return format is (e.g., list of users, counts), or if pagination is handled (though parameters suggest it). This leaves significant gaps for a tool with three parameters and no output schema.

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 a single, efficient sentence with no wasted words, making it appropriately concise. However, it's front-loaded with minimal information and lacks structure (e.g., no separation of purpose from details), which limits its effectiveness despite the brevity.

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 the complexity (3 parameters, no annotations, no output schema), the description is incomplete. It doesn't explain what 'kudos' are, how results are returned, or behavioral aspects like authentication needs. While the schema covers parameters, the overall context for an agent to use this tool effectively is lacking, especially compared to sibling tools that might offer overlapping functionality.

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 description adds no parameter semantics beyond what the input schema provides. The schema has 100% description coverage, clearly documenting 'id' as 'Activity ID' and pagination parameters with defaults. Since the schema does the heavy lifting, the baseline score of 3 is appropriate, but the description doesn't enhance understanding (e.g., explaining what 'kudos' entails or how pagination works in practice).

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description 'Get kudos for an activity' clearly states the verb ('Get') and resource ('kudos for an activity'), making the basic purpose understandable. However, it doesn't differentiate from sibling tools like 'get_activity_comments' or 'get_activity_streams' that also retrieve activity-related data, nor does it specify what 'kudos' represents (e.g., likes, appreciations). This makes it vague in context.

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 provides no guidance on when to use this tool versus alternatives. It doesn't mention prerequisites (e.g., needing an activity ID), exclusions, or comparisons to similar tools like 'get_activity' (which might include kudos) or 'get_activities' (which lists activities). Without such context, an agent must infer usage from the tool name alone.

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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