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scvcoder

korean-privacy-law-mcp

by scvcoder

search_privacy_guides

Search official Korean PIPC privacy guides (Q&A, small business, CCTV, sectoral) to find practical answers not available in law APIs. Attribution and page info included.

Instructions

PIPC 공식 가이드 4종 BM25 검색 (Contextual Retrieval, 총 687청크). doc_type ∈ {qa, small_business, cctv, sectoral, all}. qa=질의응답 모음집(2025.12, 99) / small_business=소상공인 핸드북(2024.12, 41) / cctv=고정형 영상정보처리기기 안내서(2024.12, 71) / sectoral=분야별 안내서(2024.12, 476, 8개 편 전체: 인사노무·사회복지시설·의료기관·약국·학원교습소·통계작성·공공기관·온라인경품). 법제처 API가 못 가진 PIPC 실무 안내가 차별화. 응답에 PIPC attribution + 페이지 정보 자동 첨부 (pipc-attribution 라이선스). 다음: search_privacy_cases로 실제 상담 사례, search_law로 관련 법조문.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYes검색 키워드 (예: '가명정보 결합', 'CCTV 화각', '소상공인 동의', '의료기관 적용')
doc_typeNo가이드 종류 — qa(질의응답 99청크) / small_business(소상공인 41) / cctv(CCTV 안내서 71) / sectoral(분야별 안내서 476, 8개 편 전체) / all(전체 4종 687)all
displayNo결과 개수 (기본 5, 최대 30)
Behavior3/5

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

No annotations are provided, so the description carries the full burden. It discloses the search algorithm (BM25), chunk counts, doc_type selection, and automatic attribution. It does not explicitly state read-only nature, but being a search tool it is implied. Some behavioral aspects like rate limits or pagination are not covered.

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 appropriately sized with a front-loaded purpose statement, detailed doc_type breakdown, differentiation from law API, attribution notice, and sibling alternatives. Every sentence adds value, though slightly verbose in the doc_type list.

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?

There is no output schema, so the description should explain return format. It mentions automatic attribution and page info but does not specify the structure or content of results (e.g., snippets, metadata). Given the tool's complexity, this is a gap, but the detailed input schema partially compensates.

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 coverage is 100% with descriptions for all three parameters. The description adds significant value by detailing each doc_type enum with counts and dates, and specifying default and max for display, beyond what the schema provides.

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 it performs BM25 search over 4 types of PIPC official guides with chunk counts and dates. It distinguishes itself from siblings by explicitly mentioning alternatives like search_privacy_cases and search_law.

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 explains when to use this tool (for PIPC domain-specific guides not in law API) and provides explicit alternatives for cases and law. However, it does not include explicit when-not conditions or prerequisites.

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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