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leedw80

naver-mcp

by leedw80

search_cafearticle

Find community opinions, personal experiences, and club information by searching Naver Cafe posts. Sort results by accuracy or date for relevant insights.

Instructions

네이버 카페 게시글 검색 — 커뮤니티 의견, 경험담, 동호회 정보를 검색합니다

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sortNosim: 정확도순, date: 날짜순
queryYes검색어
startNo시작 위치 (기본 1, 최대 1000)
displayNo결과 수 (기본 10, 최대 100)
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 only states that it searches posts, without disclosing behavior like sorting, pagination, rate limits, auth requirements, or return format. This is a significant gap 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, front-loaded sentence that directly states the tool's purpose. There is no wasted text or redundancy.

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?

Given the simple search tool and complete parameter schema, the description is adequate but lacks behavioral context such as response structure or pagination behavior. It is acceptable for basic use but could be more informative.

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?

The input schema provides 100% coverage for all four parameters, including enums for sort. The description adds no extra parameter semantics beyond what is already documented, so the baseline 3 is appropriate.

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 tool searches Naver Cafe posts and specifies the content types (community opinions, experiences, club info). This distinguishes it from sibling search tools like search_blog and search_news.

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?

It implies use for community/cafe content, which helps differentiate from alternatives. However, it does not explicitly say when not to use it or name alternative tools, so the guidance is implicit rather than explicit.

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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