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floatingcloud

Naver Search MCP Server

search_blog

Search Naver Blog posts by keyword, with sorting by relevance or date, and adjustable pagination and result limits.

Instructions

Perform a search on Naver Blog. (네이버 블로그 검색)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sortNo정렬 방식 (sim: 유사도, date: 날짜순)
queryYes검색어
startNo검색 시작 위치 (기본 1)
displayNo한 번에 가져올 결과 수 (기본 10)
Behavior2/5

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

Without annotations, the description carries the full burden of disclosing behavior, but it only says 'Perform a search' with no information about pagination, result format, limits, or side effects. 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.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single sentence, which is concise, but it includes a redundant Korean translation that adds no value for an AI agent. It is short but under-specifies the tool's behavior, so it is not an optimal use of space.

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 annotations, no output schema, and a sparse description, the agent lacks critical context about what the search returns, how to paginate, and when to choose this tool. The schema covers parameter semantics but not the overall tool context.

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%, so all parameters (query, sort, start, display) are already documented in the schema. The description adds no parameter details, but the schema does the heavy lifting, making baseline 3 appropriate.

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 performs a search specifically on Naver Blog, identifying the action and resource. It distinguishes from sibling search tools by naming the content type, though it does not elaborate on scope or special options.

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 alternatives such as search_news or search_shop. The description only states what it does, not when it should be selected.

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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