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xqzimgz

tax-law-mcp

by xqzimgz

search_law

Search Japanese tax laws by keyword when the law name is unknown. Enter terms like 'income tax' or 'invoice' to retrieve relevant acts, cabinet orders, or ministerial ordinances.

Instructions

法令をキーワードで検索する。法令名が分からない場合に使用。e-Gov法令API v2を使用。

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo取得件数(デフォルト10、最大20)
keywordYes検索キーワード。例: "所得税", "贈与", "インボイス", "収用"
law_typeNo法令種別で絞り込み。Act=法律, CabinetOrder=政令(施行令), MinisterialOrdinance=省令(施行規則)
Behavior3/5

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

No annotations are provided, so the description carries the burden. It mentions using 'e-Gov Law API v2' but does not confirm the tool is read-only, lacks details on pagination, rate limits, or side effects. Adequate but not exceptional.

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?

Description is extremely concise with three short sentences, each adding value: purpose, use case, and data source. No unnecessary words.

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

Completeness2/5

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

Given no output schema, the description should hint at return format or result structure. It does not mention that results are a list of laws or any pagination behavior. Incomplete for a search tool.

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 100%, with all parameters already described in the schema. The description adds no additional parameter semantics beyond what the schema provides, so baseline score of 3 is appropriate.

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 'Search for laws by keyword' and specifies the use case when the law name is unknown, effectively distinguishing it from sibling tools like get_law.

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?

Explicitly says 'Use when the law name is not known,' providing a clear when-to-use directive and implicitly indicating when not to use (e.g., when the name is known).

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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