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agentskill-sh

agentskill-mcp

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get_trending

Discover trending AI agent skills across platforms like Claude Code and Cursor. Filter by time period and platform to find popular skills for installation.

Instructions

Get trending and popular skills on agentskill.sh.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
periodNo'hot' for 24h, 'trending' for 7 days, 'top' for all time (default: trending)
platformNoFilter by platform: claude-code, cursor, copilot, windsurf, etc.
limitNoMax results (default: 10)
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. It states the tool 'Get[s] trending and popular skills,' implying a read-only operation, but doesn't address other behavioral aspects such as authentication requirements, rate limits, error handling, or response format. For a tool with no annotation coverage, this is a significant gap in transparency.

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 a single, efficient sentence that directly states the tool's purpose without unnecessary words. It is front-loaded and wastes no space, making it highly concise and well-structured for quick understanding.

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 of a tool with three parameters and no annotations or output schema, the description is incomplete. It lacks details on behavioral traits, usage guidelines, and expected outputs, which are crucial for effective tool invocation. The high schema coverage doesn't compensate for these gaps in contextual information.

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 input schema has 100% description coverage, with clear documentation for all three parameters (period, platform, limit), including enum values and defaults. The description adds no additional parameter semantics beyond what the schema provides, so it meets the baseline score of 3 for adequate coverage without extra value.

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

Purpose4/5

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

The description clearly states the tool's purpose: 'Get trending and popular skills on agentskill.sh.' It specifies the verb 'Get' and the resource 'trending and popular skills,' making the action and target explicit. However, it doesn't differentiate this from sibling tools like 'get_skill' or 'search_skills,' which might also retrieve skill-related data, so it doesn't reach the highest score.

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 sibling tools like 'get_skill' or 'search_skills,' nor does it specify contexts or exclusions for usage. This lack of comparative information leaves the agent without clear direction for tool selection.

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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