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Japan Corporate Number and Certifications (gBizINFO)

Corporate number candidates for a company name (gBizINFO)

gbizinfo_resolve_corporate_number
Read-onlyIdempotent

Which Japanese corporate numbers could this company name refer to? Searches gBizINFO (METI) by name (partial match), optionally within a prefecture, and returns every candidate with corporate number, name and address, marked exact_name or fuzzy_candidate. Never picks one for you: all candidate numbers are returned with total and truncated. Carries the gBizINFO source notice. Not an official result.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesCompany name in Japanese or English, 2-100 characters, e.g. 経済産業省 or a company name. gBizINFO matches it as a partial name.
limitNoNumber of candidates to detail, 1-50 (default 20). candidate_corporate_numbers always lists all of them (up to 200).
prefectureNoOptional prefecture code 01-47 (e.g. 13) or name (Tokyo or 東京都) to narrow the search to head offices in that prefecture.
address_hintNoOptional part of the address (e.g. 千代田区霞が関). Candidates whose published address contains it are listed first; no candidate is dropped.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYes
termsYesURL of the terms of service.
totalYesNumber of candidates gBizINFO returned (a lower bound when total_is_lower_bound).
statusYescandidates_found / no_candidates_found / unknown (see unknown_reason). A failure is never reported as no candidates.
returnedYes
truncatedYes
candidatesYes
provenanceYesFreshness receipts for every upstream source used.
answered_atYes
attributionYesRequired source notice (gBizINFO terms of use; notice_ja is the required wording, notice_ja_with_date adds the retrieval date) and the statement that this is processed by MK Career Planning and is not an official government result. Keep it when you pass results on.
limitationsYes
legal_noticeYes
retrieved_atYes
status_as_ofYes
unknown_reasonYes
exact_name_matchesYes
total_is_lower_boundYes
candidate_corporate_numbersYesEvery candidate's corporate number, including those not detailed in candidates (never collapsed to one).

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.1/5.0
Behavior4/5

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

Annotations already cover readOnly, idempotent and openWorld, and the description adds genuine behavioral context beyond them: candidates are labelled exact_name vs fuzzy_candidate, results include total and may be truncated, the gBizINFO source notice is carried, and results are 'not official'. It stops short of stating rate limits or pagination mechanics.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Three tight sentences: purpose first, then result behaviour, then the disclaimer. The leading question is slightly rhetorical but effectively front-loads the purpose, and nothing is wasted.

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?

With a full output schema, complete parameter descriptions and read-only/idempotent annotations, the description only needs to add matching semantics, no-auto-pick behaviour and the non-official caveat — all of which it does. A brief note on how to proceed after choosing a candidate would make it fully complete.

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 description coverage is 100%, so name, limit, prefecture and address_hint are already fully documented in the schema, including the partial-match and no-drop ordering semantics. The description restates the name/prefecture behaviour but adds no parameter meaning beyond the schema, so the baseline 3 applies.

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 opens with a specific verb+resource question ('Which Japanese corporate numbers could this company name refer to?') and then states exactly what it searches (gBizINFO by partial name, optional prefecture) and what it returns (every candidate marked exact_name or fuzzy_candidate). This clearly separates it from siblings like gbizinfo_company_basic, which presumably takes an already-known number.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

It makes the use case explicit: name-based resolution with no automatic selection ('Never picks one for you'), which is the condition that selects this tool over a direct number lookup. It does not, however, name the alternative tool (e.g. gbizinfo_company_basic) to call once a number is chosen, so the routing guidance stops one step short of 5.

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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