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Get Company

get_company
Read-onlyIdempotent

Full register record for one Finnish company by businessId (Y-tunnus, format NNNNNNN-N). e.g. {businessId:"0112038-9"} (Nokia Oyj). Returns names[] (with history), addresses[], companyForms[], mainBusinessLine, registeredEntries[], tradeRegisterStatus, status, registrationDate, lastModified. Multi-language descriptions: languageCode 1=Finnish, 2=Swedish, 3=English.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
businessIdYesFinnish Y-tunnus, format NNNNNNN-N, e.g. "0112038-9".

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • addedInput schema / examples
      Added value: +[
      +  {
      +    "businessId": "0112038-9"
      +  }
      +]
  2. First observed

TDQS

A4.3/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, and non-destructive behavior. The description adds value by detailing the return fields (names with history, addresses, companyForms, etc.) and multi-language code meanings, which goes beyond what annotations provide.

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 one concise paragraph that efficiently covers purpose, format, example, return fields, and multi-language details. No extraneous 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?

For a simple single-record lookup tool with one parameter and no output schema, the description is remarkably complete. It lists all major return components and explains the multi-language encoding, leaving no obvious gaps.

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% with a description for businessId. The description reinforces the format (NNNNNNN-N) and provides an example, adding extra clarity beyond the schema.

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 explicitly states it returns the full register record for a single Finnish company by businessId, with format and example. It clearly distinguishes from search_companies and other sibling tools by focusing on a single record lookup.

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 when you have a specific businessId, but does not explicitly contrast with alternatives like search_companies or mention when not to use it. No when-not or explicit alternative guidance is provided.

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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