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Search Skills

search_skills

Use this FIRST, before any non-trivial task, to find a ready-made skill in the ecomdly catalog (reviewed Markdown playbooks for AI agents). Query with 1–3 short keywords naming the kind of work (e.g. "product feed", "shopping", "ga4 funnel"); words are matched independently, so a sentence works too. If the result is empty, retry with a single noun, or send an empty query for the top skills. Returns ranked skills with their owner/name id, category, description and install command.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYes1–3 short keywords for the kind of work (each word is matched on its own against name, description, tags, category and author). Empty = the most popular skills.
categoryNoOptional category slug or name, e.g. code-review.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.4/5.0
Behavior4/5

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

No annotations are provided, so the description carries the disclosure burden and does it reasonably well: it explains independent word matching, the empty-query fallback, and the returned fields (owner/name id, category, description, install command). It omits auth requirements and any pagination/rate-limit behavior, leaving some gaps for an annotation-free tool.

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?

Front-loaded with the primary instruction ('Use this FIRST'), then query guidance, then fallback, then return shape. Every sentence earns its place and the example keywords make the guidance concrete without padding.

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 tool with no annotations and no output schema, the description covers purpose, query strategy, fallback behavior, and the shape of results, which is most of what an agent needs. Missing auth/limits context keeps it from being fully complete, but nothing critical to invocation is absent.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, so baseline is 3, but the description adds real meaning: examples of keyword form ('product feed', 'shopping', 'ga4 funnel'), the note that a full sentence works, and the semantics of an empty query. This goes beyond what the schema states.

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?

States a specific verb (search/find) and resource (ready-made skill in the ecomdly catalog) with a flavorful parenthetical explaining what a skill is. An agent can distinguish it from get_skill (fetch specific) and install_skill (execute) purely from the description.

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

Usage Guidelines4/5

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

Gives explicit routing guidance ('Use this FIRST, before any non-trivial task') plus a concrete fallback ('if the result is empty, retry with a single noun, or send an empty query'). It does not explicitly name sibling alternatives like get_skill or install_skill, so it stops short of full when-not/alternative coverage.

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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