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NeuralVerge Business Intelligence

Poland company

run_pl_companies

Get one company from the Poland registry (KRS) by KRS number or registry link: name, status, registration date, address, legal form, NIP/REGON, representatives, capital, shareholders, branches, history. Flat 5 points per successful run.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
companyYesKRS number or registry URL. e.g. 0000028860

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.5/5.0
Behavior3/5

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

No annotations exist, so the description carries the full burden. It usefully discloses the returned field set and the billing behavior ('Flat 5 points per successful run'), which is real value beyond structured fields, but says nothing about failure/error behavior, rate limits, or auth requirements.

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?

A single dense sentence covering resource, identifier, and returned fields, followed by a short pricing note. Front-loaded and free of filler.

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 and no annotations, the description compensates well by enumerating the returned fields and disclosing cost. Only the error/edge-case behavior is left unstated for a one-parameter lookup tool.

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% and the single 'company' parameter is fully documented in the schema with an example. The description merely restates the accepted identifier types, adding no syntax or format detail beyond the 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?

States a specific verb and resource ('Get one company from the Poland registry (KRS)') plus the identifier types accepted. The word 'one' implicitly distinguishes it from run_pl_companies_search, but no sibling is named explicitly.

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 gives input guidance ('by KRS number or registry link') which implies the usage context, but never states when to pick this over run_pl_companies_search or run_pl_company_filings, nor any prerequisites.

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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