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lookup_by_nip

Look up a Polish company by NIP to verify VAT status, legal name, address, REGON, KRS, and bank accounts on the official Ministry of Finance list. Check historical status for tax deductibility.

Instructions

Look up a Polish company by NIP on the Biała Lista (official Ministry of Finance VAT payer list). Returns: legal name, address, VAT status (active/exempt/removed), REGON, KRS, list of confirmed bank accounts. Include a date to check historical status (default: today) — this matters for tax deductibility of costs paid to that vendor.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nipYes10-digit Polish tax id (with or without dashes/spaces)
dateNoYYYY-MM-DD, defaults to today. API supports dates up to 5 years back.

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv0.1.0

TDQS

A4.5/5.0
Behavior4/5

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

With no annotations, the description carries the behavioral burden. It conveys a read-only lookup by listing returned data and source, and adds the important historical-status behavior. It stops short of mentioning error/not-found behavior or rate limits, which would make it fully transparent.

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?

Three compact, front-loaded sentences. The first sentence names the action and source, the second lists expected return data, and the third gives practical parameter guidance with no filler.

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 two-parameter lookup with no output schema, the description covers what it does, what it returns, and when to use the optional parameter. An agent has enough to invoke it correctly.

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%, so baseline is 3. The description adds value beyond the schema by explaining why the date parameter matters (historical status and tax deductibility) and clarifying the default behavior.

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 action ('Look up a Polish company by NIP'), names the authoritative resource (Biała Lista), and enumerates the returned fields. The by-NIP scope clearly differentiates it from the sibling lookup_by_krs, so an agent can select it without opening schemas.

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

Usage Guidelines4/5

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

Gives clear context for the optional date parameter and why it matters ('tax deductibility of costs paid to that vendor'). It does not explicitly state 'use lookup_by_krs instead when you have a KRS', but the identifier-based distinction is strongly implied by the name and description.

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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