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Torify — Japan Locale APIs for AI Agents

Invoice Number Format Validator [Torify namespace — official]

torify_invoice.validate
Read-onlyIdempotent

Validate Japanese qualified invoice number (T-number) format and check digit. T + 13 digits. 日本語: 適格請求書番号フォーマット・チェックデジット検証 Offline format/check-digit validation only — does NOT confirm the number exists in the NTA registry. To verify real registration, use invoice.verify. [Torify namespace — official]

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
numberYesインボイス番号(例: T7000012050002)

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
typeNo番号種別
inputYes入力値
validYesフォーマットおよびチェックデジットが正しいか
formatYesバリデーション結果コード
checkDigitNoチェックデジット詳細
houjinBangouNoT を除いた13桁の法人番号部分

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.9/5.0
Behavior5/5

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

Beyond the readOnlyHint and idempotentHint annotations, the description adds critical context: it performs offline validation only and does not confirm existence in the NTA registry. This avoids misinterpretation of the tool's scope.

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 two sentences, front-loaded with English, and includes a Japanese translation for completeness. No filler or redundant information.

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?

Given the tool's simplicity (one parameter, clear purpose, and an output schema not shown but present), the description covers all necessary context: format, validation scope, and distinction from a sibling tool.

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?

The single parameter 'number' has a description in the schema (example in Japanese), but the tool description adds the format 'T + 13 digits' and mentions check digit validation, adding meaning beyond the schema's example.

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 validates Japanese qualified invoice number format and check digit, specifying the pattern 'T + 13 digits'. It further distinguishes from the sibling tool 'invoice.verify' by noting it does not check NTA registry existence.

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?

The description explicitly states when to use this tool (offline format/check-digit validation) and when not to (use invoice.verify for real registration check). This provides clear guidance on alternatives.

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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