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법령 조문 원문

get_law_article
Read-onlyIdempotent

법령 조문 원문 전체 조회.

**코퍼스가 둘이다(2026-08-29)** — 공공계약(국가·지방계약법 계열)과 세법(소득세법·
법인세법·부가가치세법·조세특례제한법·지방세법 등). 축은 법령명으로 자동으로 정해지니
부르는 쪽은 신경 쓸 것이 없다("소득세법 제55조"도 "국가계약법 시행령 제26조"와 똑같이
넣으면 된다). 다만 **답할 때는 어느 법의 조문인지 밝혀라** — 세법 조문을 공공계약
근거로 인용하는 것은 우리가 막을 수 없다.

응답의 `notes`가 비어 있지 않으면 **법률 자체의 미정비 상호인용**이 탐지된
것이다(예: 제5항이 '제2항 각 호'를 인용하나 제2항에 각 호가 없음). 원문은
law.go.kr 현행 그대로이며 우리가 고치지 않는다 — 그 조문을 근거로 답할 때는
notes의 내용을 사용자에게 함께 알리고 단정을 피하라.

응답에 `assumption`이 있으면 **법령명을 우리가 추정해 채운 것**이다(예: "시행령
제26조" → 국가계약법 시행령). 지방계약 질문이었다면 틀린 법을 보고 있는 것이니
assumption.hint대로 법령명을 붙여 다시 부르고, 어느 법령 기준인지 사용자에게 밝혀라.

**`implementing_note`(및 `implementing_articles`)가 있으면 이 조문의 위임을 받은
하위 조문이 이 서버 안에 있다.** 조문 본문에 사유·요건·수치가 안 보이는 것은 없어서가
아니라 아래로 넘겼기 때문이다 — 거기 적힌 ref를 그대로 get_law_article에 넣어 읽고
답하라(추가 검색 불필요). 하위 조문의 `cites`는 그 조문이 스스로 밝힌 근거 인용이다.

**`delegation_note`가 있으면 이 조문은 값을 직접 정하지 않는다.** 배점·요율·금액
같은 수치가 조문에 안 보이는 것은 없어서가 아니라 하위 규범(시행령·시행규칙·예규·
고시)에 넘겨졌기 때문이다 — `delegations[]`의 `how`가 시키는 대로 그 규범을 먼저
읽고 답하라. `in_corpus`가 false면 이 서버 범위 밖이니 **"규정이 없다"고 말하지 말고**
law.go.kr로 안내하라. 조문만 읽고 수치를 단정하는 것이 이 필드가 막으려는 실패다.

**별표(표)도 같은 도구로 읽는다**(2026-08-23). search_law가 별표 히트로 준 law_ref
("건설기술 진흥법 시행령 [별표 8]")를 그대로 넣으면 표 전문이 온다 — 이때 응답의
`kind`가 "table"이고, `related_article`이 있으면 그 표의 근거 조문이다(표만 인용하고
근거 조문을 빼면 읽는 쪽이 법적 근거를 되짚을 수 없다).

Args:
    ref: 정확한 조문 참조 (예: "국가계약법 시행령 제26조") 또는 별표 참조
        (예: "국가계약법 시행규칙 [별표 2]")

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
refYes

TDQS

A4.8/5.0
Behavior5/5

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

Annotations already gaant read-only/idempotent behavior, and the description adds substantial operational disclosure: two-corpus auto-selection, assumption filling, notes as statutory cross-reference defects, delegation_note/in_corpus semantics, and table kind/related_article. It also states the tool will not correct law.go.kr errors and warns against citining tax provisions as public-contract authority.

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 first sentence is a clean one-line definition, and each subsequent paragraph is front-loaded with a bolded trigger phrase (notes, assumption, implementing_note, delegation_note, 별표). Long but every block earns its place with operational consequence.

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

Completeness5/5

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

With no output schema, the description documents all relevant response fields (notes, assumption, implementing_articles, delegations, in_corpus, kind, related_article) and the required follow-up actions. It covers edge cases and warnings, making the tool callable by an agent with no external context.

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?

Input schema coverage is 0%, so the description bears the burden, and it delivers: Args gives exact formats for both article refs ('국가계약법 시행령 제26조') and attached table refs ('국가계약법 시행규칙 [별표 2]'). It also tells the caller that corpus seletion is automatic, so no extra corpus parameter is needed.

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?

Opens with '법령 조문 원문 전체 조회' — a specific verb, resource, and delivery scope, and extends to 별표/table retrieval. It differentiates itself from search_law by explaining that search_law returns law_ref which this tool consumes, and from get_law_article_asof by stating the source is current law.go.kr text.

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?

Contains rich routing rules: pass implementing_articles refs straight into this tool, do not run additional searches when implementing/delegation data is present, and guide to law.go.kr when in_corpus is false. It never explicitly names get_law_article_asof as the historical/effective-date alternative, so exclusion guidance is incomplete.

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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TDQS

A4.6/5.0
Disambiguation4/5

Most tools have clearly distinct purposes: calculation tools (check_price_adjustment, estimate_delay_penalty, decide_contract_method), reference tools (get_law_article, get_case), and search tools. The only potential confusion is between search_law and search_references since both cover statutes, but their descriptions explicitly delineate scope (statutes-only vs. statutes+guidelines+rulings).

Naming Consistency4/5

Tool names overwhelmingly follow a snake_case verb_noun pattern (check_price_adjustment, estimate_delay_penalty, get_law_article, search_cases). One outlier is delay_exemption_guide, which uses a noun-led pattern rather than a verb-led one, but it is still readable and consistent in style.

Tool Count5/5

Eleven tools is well within the ideal range for a specialized legal advisory server. Each tool covers a distinct function: rule-based determinations, calculations, legal research, historical lookup, case retrieval, and issue reporting. No tool feels redundant or superfluous.

Completeness4/5

The toolset covers the core advisory workflow well: searching statutes, guidelines, and cases; retrieving full texts and historical versions; and performing key calculations for price adjustments and delay penalties. Minor gaps exist such as calculators for other contract lifecycle adjustments, but those are reasonably addressable through the search and reference tools.