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Alessandro114

scala-mcp-server

search_companies

Search over 244 million companies worldwide by name, VAT number, or keyword. Filter by country, industry code, and active status to retrieve detailed company data.

Instructions

Search 244M+ companies worldwide by name, VAT number, or keyword. Filter by country (ISO 2-letter code), NACE industry code, and active/inactive status. Returns company name, address, revenue, employees, health score, and more.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesCompany name, VAT number, or keyword to search
countryNoISO 2-letter country code (e.g. IT, DE, FR, US, GB)
naceNoNACE industry code (e.g. 56.10 for restaurants, 62.01 for software)
statusNoFilter by company status
limitNoMax results (1-100, default 10)
Behavior3/5

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

No annotations provided, so description must disclose behavior. It mentions it is a search operation returning data but does not discuss rate limits, pagination, or idempotency. Lack of behavioral details beyond basic read nature lowers score.

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 sentences, efficient, front-loaded with purpose. No redundant or verbose text.

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

Completeness3/5

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

For a search tool with no output schema, description covers basic functionality but omits pagination behavior, result format, and details on 'and more' fields. Incomplete for full agent decision-making.

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 coverage is 100%, so description adds little beyond what schema provides. It lists parameter categories but no additional constraints or examples. Baseline at 3 is appropriate.

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 uses strong action verb 'Search' and specifies resource 'companies', adding scope '244M+ worldwide'. It lists searchable criteria and return fields, clearly distinguishing from sibling tools like lookup_company (which likely retrieves by ID).

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?

Description does not provide explicit guidance on when to use this tool over siblings like lookup_company or company_report. Usage context is implied from the word 'Search' but no when-not-to or alternative recommendations.

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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