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woongaro

Legal Search MCP

by woongaro

search-law

Search Korean laws by name or text content to locate relevant statutes and regulations for legal research.

Instructions

한국 법령을 검색합니다. 법령명이나 본문 내용으로 검색할 수 있습니다.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
orgNo소관부처 코드 (예: '1613000'=국토교통부)
pageNo페이지 번호 (기본: 1)
sortNo정렬: lasc/ldes=법령명순, dasc/ddes=공포일순, efasc/efdes=시행일순
queryYes검색할 법령명 또는 키워드 (예: '자동차관리법', '개인정보')
displayNo검색 결과 개수 (기본: 20, 최대: 100)
lawStatusNo법령 상태: 'current'=현행, 'scheduled'=시행예정, 'history'=연혁, 'all'=전체
searchTypeNo검색 범위: 'name'=법령명 검색(기본), 'content'=본문 검색
Behavior2/5

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

With no annotations provided, the description carries the full burden of disclosing behavioral traits. It only mentions the ability to search by name or content, which is already present in the searchType parameter of the schema. It does not disclose whether the operation is read-only, the response format, pagination behavior, or any side effects. This is a minimal disclosure that adds little beyond the schema.

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 two short, clear sentences in Korean. It front-loads the core purpose and uses no unnecessary words. Every word earns its place, making it highly concise and well-structured.

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 7 parameters, 3 enums, no annotations, and no output schema, the description is too sparse. It does not explain the typical search workflow (e.g., that results can be followed up using get-law-detail), nor does it clarify return behavior or default settings. The description only conveys the basic search capability, leaving the agent without enough context for effective invocation.

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 7 parameters are already documented with descriptions. The tool description adds no additional parameter semantics beyond restating that searching by law name or content is possible, which mirrors the searchType parameter. The baseline of 3 applies because the schema does the heavy lifting.

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 Korean laws and specifies the two search modes (by law name or content). This is a specific verb+resource pairing and implicitly distinguishes it from the sibling tool get-law-detail, which presumably retrieves details of a specific law.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies the tool should be used for searching laws, but it provides no explicit guidance on when to prefer this tool over get-law-detail, nor does it mention any exclusions or prerequisites. The context signal shows get-law-detail as a sibling, but the description itself does not reference it.

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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