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leedw80

naver-mcp

by leedw80

search_book

Search for books using Naver, retrieving details such as title, author, ISBN, and publisher. Supports sorting by relevance or publication date and pagination.

Instructions

네이버 책 검색 — 도서 정보, 저자, ISBN, 출판사를 검색합니다

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sortNosim: 정확도순, date: 출판일순
queryYes검색어
startNo시작 위치 (기본 1, 최대 1000)
displayNo결과 수 (기본 10, 최대 100)
Behavior1/5

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

With no annotations provided, the description carries the full burden for behavioral disclosure. It only states the basic search function and does not mention pagination, result limits, output format, required permissions, or any other behavioral traits. This is a significant gap for a search API.

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, front-loaded sentence that immediately identifies the tool's purpose. It is concise with no wasted words or redundancy.

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?

Given the tool has four parameters, no annotations, and no output schema, the description is minimal. It does not explain the return value structure, the meaning of result ordering, or any usage constraints beyond what the schema lists. This leaves the agent without enough context to fully understand the tool's behavior.

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 four parameters already have meaningful descriptions. The tool description adds no additional parameter-level information beyond what the schema provides, placing it at the baseline for high-coverage schemas.

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 performs a 'Naver book search' and lists the specific fields it searches (book info, author, ISBN, publisher). This distinguishes it from sibling tools like search_news or search_shop, which target different content types.

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 explicit guidance is given on when to use this tool versus alternatives. While the name 'search_book' implies book-related queries, there is no mention of when not to use it or what other tool might be more appropriate for non-book searches.

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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