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lawink_statute_semantic_search

Semantically search 130K Korean statute articles using natural language queries. Use as a supplementary tool when precedent-based statute retrieval is insufficient.

Instructions

⚠️[보조·실험적 — 변호사 업무용 1차 도구로 쓰지 말 것] 법령 조문 직접 시맨틱 검색 (임베딩, 13만 조문). 어휘 매칭 편향이 있어 1위 결과가 사안과 무관한 법령(예: 세법·절차규칙)일 수 있고, similarity_score(0.84~0.89 좁은 구간에 뭉침)는 신뢰도 지표가 아니다. ★사안 → 근거 조문이 필요하면 반드시 lawink_statute_by_precedent를 먼저 쓸 것 (유사 판례가 실제 인용한 법령을 빈도순·출처판례와 함께 한 번에 반환 — 예: 임대차 → 민법 제618·615·654조). 이 도구는 위 경로로 안 잡히는 조문을 보조 탐색할 때만 사용. query=자연어 사안/질의. 결과의 statute_id는 lawink_statute_precedents에 넣어 '이 법령을 적용한 판례'로 확장 가능.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
queryYes
Behavior5/5

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

Discloses known biases (lexical matching bias), unreliability of similarity_score (0.84-0.89 range), and potential for irrelevant top results. Also notes that statute_id can be used for expansion via lawink_statute_precedents.

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?

Description is informative and front-loaded with caution, but slightly verbose. Every sentence adds value, but could be more structured.

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?

No output schema, but description explains key result elements (similarity_score, statute_id) and integration with other tools. Covers limitations and usage context well, though missing explicit return field documentation.

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 coverage is 0%, but description explains query parameter as natural language ('query=자연어 사안/질의'). However, limit parameter is only mentioned as having default 10 without additional meaning. Partial compensation for low coverage.

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?

Description clearly states the tool does direct semantic search of statute provisions ('법령 조문 직접 시맨틱 검색') and distinguishes it from the sibling tool lawink_statute_by_precedent by advising to use that sibling first. The warning about being supplementary/experimental further clarifies its specific role.

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

Usage Guidelines5/5

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

Provides explicit when-to-use (supplementary when primary path fails), when-not-to-use (not as primary lawyer tool), and an alternative (use lawink_statute_by_precedent first). Also specifies query format as natural language.

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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