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yamayued

houjin-bangou-api-mcp

by yamayued

Search Corporations By Name

search_corporations_by_name

Search Japanese corporations by name using the official Corporate Number API. Filter by active status, name matching mode, and more to find corporate numbers and details.

Instructions

Search corporations by name using the official Corporate Number API.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
modeNo1 for prefix match, 2 for partial match.
nameYes
closeNoWhen true, include closed corporations. When false, active only.
kindsNo
changeNoWhen true, include changed records. When false, latest only.
divideNo
targetNo1 for name only, 2 for furigana only, 3 for both.
addressNo
assignmentToNo
responseTypeNoResponse format: 01 CSV (Shift-JIS), 02 CSV (UTF-8/Unicode), 12 XML.
assignmentFromNo
Behavior2/5

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

No annotations are provided, so the description carries full burden for behavioral disclosure. It only mentions the official API, but doesn't describe read-only nature, pagination (divide), return formats, or rate limits. Too little for a complex search tool.

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

Conciseness3/5

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

The description is a single clear sentence with no redundancy, but it is under-specified for a tool with 11 parameters. It is concise but not appropriately structured to convey necessary information.

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

Completeness1/5

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

Given the tool's complexity (11 params, no output schema, no annotations), this one-line description is severely insufficient. It fails to mention response types, pagination, or any operational details, making it incomplete for an agent to use correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is low (45%), and the description adds no parameter-level meaning. It doesn't explain any of the 11 parameters beyond the trivial fact that name is used, which is already in the required schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool searches corporations by name, using a specific verb 'search' and resource 'corporations'. It implicitly distinguishes from get_corporation_by_number (search by number) and get_corporation_updates (updates), though it doesn't explicitly name alternatives.

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

Usage Guidelines2/5

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

No guidance is provided on when to use this tool versus sibling tools. The phrase 'by name' weakly implies a use case, but there are no explicit context signals, prerequisites, or exclusions.

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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