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lookup_by_krs

Retrieve a Polish company's or association's full KRS registry entry by its 10-digit number, including legal details, address, board members, and financial data.

Instructions

Look up a Polish organization by KRS number in the Krajowy Rejestr Sądowy. Returns the full current registry entry: name, legal form, address, share capital, board members, PKD codes, shareholders (for companies), registration/change dates.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
krsYes10-digit KRS number
registerNoP = Przedsiębiorcy (businesses/companies), S = Stowarzyszenia (associations/NGOs/foundations)P

Schema Changelog

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

  1. First observedv0.1.0

TDQS

A4.2/5.0
Behavior4/5

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

No annotations are provided, so the description carries the burden of behavioral disclosure. It makes clear that this is a read operation ('Returns'), that the data is the current registry entry, and enumerates the returned fields. It does not cover error or not-found behavior, but for a read-only lookup tool this is reasonably 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?

The description is compact and front-loaded: the first sentence states the action and identifier, and the second sentence provides a useful field list. There is no filler, redundancy, or irrelevant detail.

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?

For a simple two-parameter lookup tool with no output schema, the description gives sufficient return detail to set agent expectations. It lacks explicit edge-case behavior such as invalid or nonexistent KRS numbers, but the core invocation semantics are well covered.

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 description coverage is 100%, so both krs and register already have detailed descriptions including format, enum values, and default. The MCP description adds no parameter-specific semantics beyond what the schema already provides, so the baseline score of 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?

The description uses a specific verb ('Look up') and a specific resource ('Polish organization by KRS number in the Krajowy Rejestr Sądowy'), which clearly distinguishes it from the NIP-based sibling tool. It also states that the tool returns the full current registry entry, making the purpose concrete and action-oriented.

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?

The description clearly communicates when to use the tool: when an organization needs to be looked up via KRS number. It does not explicitly mention the alternative lookup_by_nip or provide exclusion conditions, but the KRS-specific scope provides enough context for an agent to select it correctly.

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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