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Izyuusya
by Izyuusya

check_invoice_registration

Verify the registration status, name, and address of Japanese qualified invoice issuers by entering a T-number, with optional change history.

Instructions

適格請求書発行事業者の登録情報を登録番号で確認する.

インボイス制度に基づく適格請求書発行事業者の登録状況・ 名称・所在地などを確認できる。

Args: number: 登録番号(T+13桁の数字、例: "T1234567890123")。 カンマ区切りで最大10件まで同時に検索可能。 history: 変更履歴を含めるか(デフォルト: False)

Returns: 登録事業者の情報(マークダウン)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
numberYes
historyNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.2.2

TDQS

A4.1/5.0
Behavior3/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It mentions that the tool returns markdown, supports up to 10 comma-separated numbers, and includes a history flag. However, it does not explicitly state that the operation is read-only or disclose any potential side effects, rate limits, or error behaviors. Adequate but not rich.

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 description is well-structured with a clear purpose statement followed by an Args/Returns section. It is concise, with no fluff, and front-loads the primary purpose. The docstring-like format aids readability.

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?

The description covers all essential elements for a check tool: purpose, parameters, and return format (markdown). Since an output schema exists, detailed return structure is not required. Minor gaps like error handling or prerequisites are not critical for this simple read operation.

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?

Schema description coverage is 0%, so the description must compensate. It does so thoroughly: it explains the 'number' parameter format (T+13 digits, example provided, comma-separated up to 10), and the 'history' parameter (whether to include change history, default False). This adds substantial meaning beyond the raw schema and fully covers both parameters.

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 states a specific verb ('確認する' - check), resource ('適格請求書発行事業者の登録情報' - registration info of qualified invoice issuers), and method ('登録番号で' - by registration number). It clearly distinguishes from siblings like search_invoice_by_name and validate_invoice_on_date by specifying the identifier type. The purpose is unambiguous and not a tautology.

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 usage: if you have a registration number, use this tool. However, it does not explicitly mention alternatives or when not to use it. No sibling routing is provided. This is implied usage rather than explicit guidance, so it falls short of a higher score.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.