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NeuralVerge Business Intelligence

Netherlands company

run_nl_companies

Get one company from the Netherlands registry (KVK Handelsregister) by KVK number or registry URL: name, status, registration date, address, legal form and establishments. Flat 5 points per successful run.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
companyYesRegistration number or registry URL. e.g. 17001910

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.8/5.0
Behavior3/5

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

No annotations are provided, so the description carries the full behavioral burden. It usefully discloses the returned field set and the cost model ('Flat 5 points per successful run'), which is real context an agent can act on. It says nothing about authentication, error/not-found behavior, or whether a registry URL must match a specific format, which are meaningful gaps for an unannotated tool.

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?

A single sentence that front-loads the verb, resource and lookup keys, then lists outputs and cost. Every clause carries information; nothing is padded.

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 no output schema, enumerating the returned fields (name, status, registration date, address, legal form, establishments) is genuinely necessary and it also discloses the point cost. The only shortfall is the absence of failure-mode or prerequisite guidance, which is minor for a one-parameter read.

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?

There is only one parameter and schema description coverage is 100%, with the schema already documenting 'Registration number or registry URL. e.g. 17001910'. The description restates the same two accepted forms and adds no format or validation detail, so 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?

States a specific verb and resource ('Get one company from the Netherlands registry (KVK Handelsregister)') plus the lookup keys (KVK number or registry URL) and the returned fields. The word 'one' implicitly separates it from the sibling run_nl_companies_search, so an agent can distinguish single-entity lookup from search without opening either schema.

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 single-company framing implies when to use it versus the search sibling, and the accepted lookup keys tell the agent what input is required. However, it never explicitly says 'use run_nl_companies_search to find a company by name' or states when this tool is the wrong choice, leaving routing to inference.

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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