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skillmd

Trending skills

skillmd_trending
Read-onlyIdempotent

Top skills on the SkillMD leaderboard, ranked by installs, saves and ratings, optionally within one category and time window.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMaximum number of results (default 20)
rangeNoRanking window: last 30 days or all time (default all)
categoryNoRestrict to one category slug, e.g. coding, devops, data, security

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
itemsYesMatching skills, best first

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

A3.9/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, covering the safety profile. The description adds useful behavioral context about ranking criteria and optional filtering, but does not disclose details like pagination behavior or data freshness. This is acceptable given the strong annotation coverage.

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, well-structured sentence that front-loads the core purpose and then adds optional filtering context. Every phrase earns its place with no redundant or vague wording.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a read-only, low-complexity tool with three optional parameters, a complete output schema, and strong annotations, the description provides sufficient context. It explains the ranking criteria and optional filters, leaving no critical gap for an agent to call the tool 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 100%, so the schema already documents all three parameters. The description reinforces the category and time-window concepts and adds the ranking basis, but it does not add meaningful parameter-level detail beyond what the schema provides.

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 identifies a specific resource ('SkillMD leaderboard') and a precise ranking basis ('installs, saves and ratings'). It also conveys optional filtering by category and time window, which distinguishes it from generic search or get operations among siblings.

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

Usage Guidelines3/5

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

The description implies when to use the tool: when an agent needs top skills from the leaderboard with optional filters. However, it does not explicitly state when not to use it or mention alternative sibling tools like skillmd_search or skillmd_recommend, leaving some routing to inference.

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

A4/5.0
Disambiguation4/5

Each tool targets a distinct workflow: search and trending discover skills, recommend provides context-based suggestions, get returns metadata and body, download retrieves full files. There is mild overlap between get and download since both expose the SKILL.md body, but the descriptions clearly separate inspection from file retrieval.

Naming Consistency4/5

All tools share the skillmd_ prefix and lowercase snake_case style, giving the set a cohesive feel. Most names use clear actions (download, get, recommend, search), though trend is a noun rather than a verb, making it a slight deviation from the otherwise action-oriented pattern.

Tool Count5/5

Five tools is well-scoped for a skill registry server covering discovery, recommendation, metadata lookup, and full content download. Each tool earns its place and the set is neither bloated nor too thin.

Completeness4/5

The consumer-facing workflow is well covered: an agent can search, see trends, get skill details, and download full contents ready to use. Publishing or managing registry entries is not covered, but that appears to be outside the stated purpose of reading public skills.