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aktsmm

skill-ninja-mcp-server

skillNinja_search

Search AI agent skills by keyword to find matching skills with trust badges and recommendations.

Instructions

Search for Agent Skills by keyword. Returns matching skills with trust badges and recommendations. / キーワードでエージェントスキルを検索

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesSearch query (skill name, description, or category)
Behavior3/5

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

No annotations are provided, so the description carries the full burden. It mentions returning trust badges and recommendations, but does not disclose permissions, side effects, or limitations. The search is likely read-only, but this is not explicit.

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 sentence in English followed by a Japanese translation. It is concise and front-loaded, with no extraneous information.

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

Completeness3/5

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

The input schema is simple and complete. However, the description does not explain return structure (e.g., pagination, ordering) or limitations. For a search tool, more detail could be helpful, but the low complexity mitigates the gap.

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% for the single parameter 'query'. The description adds no new information beyond the schema, as both state the query matches name, description, or category. Baseline is 3.

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 states the verb (Search), resource (Agent Skills), and includes what is returned (matching skills with trust badges and recommendations). It distinguishes from siblings like skillNinja_list and skillNinja_webSearch.

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?

No guidance is provided on when to use this tool versus siblings like skillNinja_list, skillNinja_recommend, or skillNinja_webSearch. The description only implies keyword search.

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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