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法令の条文本文を取得

get_law_article

Retrieve the full text of a specific article from a Japanese law by providing the law ID and article number.

Instructions

law_idと条番号を指定して条文の本文を取得する。条番号は「3」「第3条」「第三条の二」「3の2」のいずれの形式でもよい。

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
law_idYes法令ID(例: 412AC0000000102)
articleYes条番号(例: 3 / 第3条 / 第三条の二)
Behavior2/5

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

No annotations provided, so description must cover behavioral traits. It only states the function and accepted formats, but does not disclose error handling, required permissions, or whether law_id must exist.

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?

Single sentence, front-loaded with key information, no wasted words.

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?

For a simple tool with 2 parameters and no output schema, the description is adequate. However, it lacks details on return values or error conditions, leaving gaps for the agent.

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%. The description adds value by noting the accepted formats for article number (e.g., '3', '第3条', '第三条の二', '3の2'), which is not in the schema 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 clearly states the tool retrieves the text of a law article using law_id and article number. It distinguishes from siblings: get_law_structure (structure) and search_laws (search).

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?

The description implies when to use (to get article text) but does not explicitly state when not to use or provide alternatives. It lacks guidance on comparing with sibling tools.

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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