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Koreanics: Korea law, Acts and bills in English

Get one law article (English)

get_law_article
Read-onlyIdempotent

Full English text of one article of a South Korean statute or enforcement decree, with a one-line plain-English explanation where available, the version date and the official Korean source link.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
lawYesLaw slug, e.g. "labor-standards-act" (see list_laws).
articleYesArticle number, e.g. "56" or "2-3" (Article 2-3).

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4/5.0
Behavior4/5

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

Annotations already declare readOnly, idempotent, non-destructive and closed-world, so the safety profile is covered. The description adds useful return-shape context (plain-English explanation, version date, official Korean source link) and the 'where available' caveat signaling the explanation may be absent. It does not say what happens for an invalid law or article number.

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?

A single front-loaded sentence that packs the content type, language, scope and returned fields with no filler or repetition.

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?

With no output schema, the description usefully enumerates what comes back (English text, explanation, version date, source link). It is nearly complete for a simple two-parameter lookup; only error/absence behavior is left unaddressed.

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% — both 'law' and 'article' are documented with slug format and numbering examples, and 'law' even cross-references list_laws. The description adds no parameter detail beyond that, so the baseline 3 applies.

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?

States a specific verb (get/fetch) and resource (one article of a South Korean statute or enforcement decree) with the scope 'one article', which cleanly separates it from the plural sibling search_law_articles. An agent can tell what this returns without opening the schema.

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?

Usage is implied: fetch the full text of a single article once the law slug and article number are known. However, it never states when to prefer this over search_law_articles or list_laws, nor any prerequisite such as resolving the slug first.

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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