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rubatoyd

aladin-book-mcp

by rubatoyd

aladin_book_search

Search for books by title, author, publisher, or keyword using Aladin's catalog. Use filters for category, target, and sorting to narrow results to the needed editions.

Instructions

알라딘 Open API로 도서를 검색합니다.

Args: query: 검색어 (도서명, 저자명, 출판사, 키워드 등) query_type: 검색 대상 필드 ('Keyword', 'Title', 'Author', 'Publisher') search_target: 검색 카테고리 ('Book', 'Foreign', 'Music', 'DVD', 'Used', 'eBook', 'All') start: 시작 페이지 번호 (1100) max_results: 1회 출력 건수 (1100) sort: 정렬 순서 ('Accuracy', 'PublishTime', 'Title', 'SalesPoint', 'CustomerRating') category_id: 특정 알라딘 카테고리 ID 필터 (선택)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sortNoAccuracy
queryYes
startNo
query_typeNoKeyword
category_idNo
max_resultsNo
search_targetNoBook

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

B3.4/5.0
Behavior2/5

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

There are no annotations, so the description carries the burden of disclosing behavior. It only says the tool searches books and lists parameters; it does not disclose return format, output shape, API limits, or whether any side effects exist. The word 'search' implies a read-only operation, but that is not explicitly stated.

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 concise: one clear purpose sentence followed by a compact argument list. Every line earns its place, and the purpose is front-loaded before the parameter details.

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?

Input-side documentation is complete for all seven parameters, which is valuable for a tool with no output schema. However, because there is no output schema and no annotations, the description should also explain what the tool returns and how results are structured; this is missing.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, and the description compensates fully by explaining all seven parameters with semantic meaning and allowed values. It adds useful constraints like page range, result count range, and valid enum-like options that are absent from the schema.

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 action and resource: searching books via the Aladin Open API. It is unambiguous about the tool's basic function, though it does not explicitly differentiate this search tool from the sibling tools by name or condition.

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?

The description provides no guidance on when to use this tool versus the sibling tools such as aladin_book_lookup, aladin_book_list, or aladin_book_status. Usage context is only implied by the tool name and the 'search' verb, with no exclusions or alternative routing.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.