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Torify — Japan Locale APIs for AI Agents

Company Full Profile (Corporate + Invoice)

company.fullProfile
Read-onlyIdempotent

One-call composite: 13-digit corporate number (法人番号) → company name, address, kind, status (NTA 法人番号 API) + optional invoice registration check (NTA 適格請求書 API). 日本語: 法人番号 1 つで法人情報とインボイス登録状態を同時取得。Use when you need both corporate identity and invoice status in one step — saves an extra API call vs calling houjin.lookup + invoice.verify separately. Note: government agencies (e.g. NTA itself) often return invoiceStatus.registered=false — this is correct per Japanese tax law.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
numberYes法人番号(13桁の数字、例: 1180301018771)
verify_invoiceNotrue のとき対応するT番号(T+法人番号)のインボイス登録状態も確認する(デフォルト: false)

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
kindNo法人種別
nameYes法人名
nameEnNo法人名(英語)
statusYes法人状態
addressYes住所
sourcesYesデータソース一覧
nameKanaNo法人名(フリガナ)
confidenceYes信頼度スコア(0〜0.99)
verified_atYes確認日時(ISO 8601)
houjinBangouYes法人番号(13桁)
invoiceStatusNoインボイス登録状態(verify_invoice=true のときのみ)

TDQS

A4.9/5.0
Behavior5/5

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

Beyond annotations (readOnlyHint, openWorldHint, idempotentHint), the description explains the composite nature, optional parameter behavior, and a specific caveat about government agency responses being correct per Japanese tax law.

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?

Two dense sentences plus a note, front-loaded with key info, no redundancy, every sentence serves a purpose (purpose, use-case, caveat).

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 two parameters, output schema exists, and external API dependencies, the description covers input format, composite behavior, optional parameter, and a critical edge case, making it fully adequate.

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%, so baseline is 3. The description adds value by explaining the number parameter as '13-digit corporate number' and the verify_invoice parameter's effect (triggers invoice.verify) and default false, plus a behavioral note on invoice status.

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 it's a 'one-call composite' that retrieves corporate info and optional invoice registration via two NTA APIs, specifying input (13-digit corporate number) and distinguishing from separate calls to houjin.lookup and invoice.verify.

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 you need both corporate identity and invoice status in one step — saves an extra API call vs calling houjin.lookup + invoice.verify separately,' and adds a behavioral note about government agencies, guiding correct use.

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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TDQS

A3.7/5.0
Disambiguation1/5

The tool set contains exact duplicates for 10 tools (e.g., company.fullProfile and torify_company.fullProfile). An agent cannot distinguish between them, leading to confusion and potential misselection. The purpose of having both namespaced and non-namespaced versions is unclear.

Naming Consistency2/5

Naming is inconsistent: some tools use a dot-separated namespace (e.g., company.fullProfile), while others have a prefix (torify_company.fullProfile). Some tools lack the prefix (e.g., geo.geocode) while their duplicates have it (torify_geo.geocode). No consistent verb_noun pattern; naming conventions are mixed.

Tool Count2/5

With 24 tools, the count is high, and half are duplicates. The effective unique tool count is 12, which is reasonable for the domain, but the duplication inflates the count unnecessarily, making the surface seem bloated and confusing.

Completeness4/5

The tool set covers key Japanese locale operations: corporate lookup, invoice validation/verification, geocoding, postal lookup, name romanization, kanji conversion, law search, and wareki conversion. However, there are no tools for updating or deleting data, which is expected since these are read-only or verification APIs. Minor gaps like missing station/landmark geocoding are noted but acceptable.

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