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search_law

Read-onlyIdempotent

Search Korean law by name to retrieve law identifiers for statutes, ordinances, and administrative rules, with automatic fallback and repeal notices.

Instructions

Korean-law-mcp — [법령검색] 법령명·조례명·행정규칙명 키워드검색 → lawId, mst 획득. 지자체 조례·규칙(자치법규), 훈령·예규·고시(행정규칙)도 검색 — 0건 시 자치법규/행정규칙으로 자동 폴백(예: '광진구 복무조례', '외국환거래규정'). 약칭 자동변환. 제명변경·시행예정 개정 자동 병기. 폐지된 법령·행정규칙은 폐지 사실과 후속(통합) 규정을 자동 안내. 법령·조례·행정규칙 조회 전 식별자 확보용.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYes검색할 법령명 (예: '관세법', 'fta특례법', '화관법')
displayNo최대 결과 개수 (기본 50 — 짧은 법령명 정확매칭 누락 방지)
Behavior4/5

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

Annotations already declare readOnly/openWorld/idempotent, and the description adds valuable behavioral details: automatic fallback to autonomous/administrative rules on zero results, abbreviation conversion, automatic notation of title changes and pending amendments, and repeal handling with successor rules. No contradiction with annotations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

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

The description is dense but front-loaded with the core purpose and each clause adds a distinct behavioral detail. It is a single long sentence with multiple em-dash segments, which is compact but slightly harder to parse than a short structured summary.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a search tool with no output schema, the description adequately conveys scope, fallback behavior, special handling of repealed laws, and the intended pre-lookup role. It does not detail the exact return shape beyond lawId/mst, but that is sufficient for identifier acquisition.

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

Parameters4/5

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

Schema covers both parameters at 100%, so baseline is 3; the description adds extra meaning by giving example query forms ('광진구 복무조례', '외국환거래규정') and explaining automatic abbreviation/fallback behavior tied to the query parameter. This goes beyond the schema's field descriptions.

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 opens with '[법령검색] 법령명·조례명·행정규칙명 키워드검색 → lawId, mst 획득', specifying a concrete verb (keyword search), resource (Korean statutes/ordinances/admin rules), and output (identifiers). It further distinguishes itself from text-retrieval siblings by stating it is for '조회 전 식별자 확보용'.

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?

The description clearly states the tool is for securing lawId/mst before looking up statutes, ordinances, or administrative rules, giving a clear when-to-use context. It does not explicitly name sibling alternatives or state when not to use it, so it stops short of a 5.

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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