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greyisworking

Web3 Content MCP Server

article_search

Locate web3 articles by searching keywords in title and body. Filter by language and limit result count for targeted content discovery.

Instructions

아티클을 검색합니다 (제목+본문)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo최대 개수 (기본: 20)
queryYes검색어
languageNo언어 필터
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. It reveals search scope (title+body) but omits key behaviors: whether search is fuzzy, how results are sorted, pagination details, or what fields are returned. This is insufficient for a search 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?

A single, focused sentence that states the exact function. No filler or redundant content; every word contributes to 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?

With no output schema and only a minimal description, the tool lacks essential context about return format, result count limits, and search behavior. The schema covers parameter meaning but not the output structure or edge cases.

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 descriptions already define all parameters clearly (query, limit, language). The description adds value by specifying that the query applies to title and body, enriching the meaning of the query parameter beyond the schema's '검색어'.

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 searches articles, specifying scope as title+body. This distinguishes it from list/retrieve tools like get_articles or get_article, though it does not explicitly name alternatives.

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 given on when to use this tool versus siblings like search_content or get_articles. The context from sibling names and the description's scope are the only hints, with no explicit when/when-not guidance.

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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