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popular_skills

Discover trending AI agent skills sorted by download count. Get compact summaries for browsing and trend discovery.

Instructions

Return the most popular AI agent skills by download count. Use for browsing, onboarding, trend discovery, or when the user asks what skills are popular without naming a specific task. Do not use this for targeted task matching; use search_skills for that. Returns compact skill summaries suitable for ranking lists and recommendations.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoNumber of popular skills to return. Default 20, maximum 50.
Behavior4/5

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

No annotations provided, but the description clearly indicates read-only behavior and what is returned ('compact skill summaries'). Could mention sorting criteria more explicitly, but overall transparent.

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?

Three focused sentences: main action, usage contexts, and exclusion. No redundant information, well-structured.

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?

Given no output schema, it describes the return format as 'compact skill summaries' but lacks specifics on fields. Otherwise complete for a simple list tool.

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 coverage is 100% for the single parameter 'limit', and the description adds no extra meaning beyond the schema's own description.

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 uses a specific verb ('Return') and resource ('popular AI agent skills') and clearly distinguishes itself from sibling tools by stating not to use for targeted task matching.

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

Usage Guidelines5/5

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

Explicitly specifies when to use (browsing, onboarding, trend discovery) and when not to use (targeted task matching), with direct reference to alternative (search_skills).

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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