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search_skills

Search Qumge's curated catalog of agent skills (SKILL.md files) by what the user wants to accomplish. Use this whenever the user asks for a skill, tool, or capability — e.g. 'find me a skill for social media automation', 'is there a skill for SEO audits'. Returns the best few, ranked by how useful they actually are (an LLM read each one), with a one-line summary and the exact slug to pass to get_skill.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoHow many to return. Default 5, max 10.
queryNoWhat the user wants to do, in their own words. e.g. 'automate posting to social media', 'extract tables from PDFs'. Omit it to browse the top-ranked skills instead.
offsetNoSkip this many results — for paging through a long list.
categoryNoOptional. Narrow to one category. Call list_categories to see them.

TDQS

A4.5/5.0
Behavior4/5

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

With no annotations, description carries full burden. It discloses ranking method (LLM read each one), return contents (one-line summary, slug), and browse behavior when query omitted. Could mention pagination details but schema covers offset/limit; still well beyond minimal.

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?

Two sentences, front-loaded with action and resource, includes examples and return info. Every word earns its place, no redundancy.

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?

No output schema, so description must explain return values—it does (one-line summary, slug, ranked best few). Combined with schema details, the description sufficiently covers purpose, usage, behavior, and integration with get_skill.

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%, so baseline is 3. Description adds minimal parameter semantics beyond schema, mostly repeating that query is in user's words and that omitting it browses top-ranked. No significant added value for limit/offset/category.

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?

Description states an explicit verb (Search), resource (Qumge's curated catalog of agent skills / SKILL.md files), and purpose (by what the user wants to accomplish). It distinguishes from siblings by noting result includes the slug to pass to get_skill, and category param references list_categories.

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?

Gives explicit when-to-use: 'Use this whenever the user asks for a skill, tool, or capability' with examples. It also provides an alternative/next-step by mentioning the slug is for get_skill, and references list_categories for category browsing.

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

A4.3/5.0
Disambiguation4/5

Tools are mostly distinct: get_bundle vs get_skill differ by granularity, list_bundles/list_categories/list_models list different entity types, and search_skills is the discovery tool. Minor overlap exists between list_bundles and list_categories as both support browsing, but descriptions clarify their purposes.

Naming Consistency5/5

All tool names follow a consistent verb_noun snake_case pattern: get_* for fetches, list_* for enumerations, and search_* for querying. The naming is uniform and predictable.

Tool Count5/5

Six tools is well-scoped for a skills catalog server. Each tool serves a clear purpose in the discovery/installation workflow, and the count is within the ideal range.

Completeness4/5

The tool surface covers the core workflow: search, browse categories/bundles, and fetch content for installation. A minor gap is the lack of a direct 'list all skills' endpoint, but categories and search compensate adequately.

Resources