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Karpata – company data from public registers

Stop watching company

unwatch_company
DestructiveIdempotent

Stop watching a company. Idempotent; free.

Input Schema

NameRequiredDescriptionDefault
regNoYesRegistration number: IČO (SK, CZ), NIP or KRS number (PL), CUI (RO).
countryYesCountry code.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 schema fields changed
    • changedInput schema / properties / country / enum
      Previous value: -[
      -  "SK",
      -  "CZ",
      -  "RO"
      -]New value: +[
      +  "SK",
      +  "CZ",
      +  "PL",
      +  "RO"
      +]
    • changedInput schema / properties / regNo / description
      Previous value: -"Registration number: IČO (SK, CZ), CUI (RO)."New value: +"Registration number: IČO (SK, CZ), NIP or KRS number (PL), CUI (RO)."
  2. First observed

TDQS

A3.5/5.0
Behavior3/5

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

Annotations already declare idempotentHint=true and destructiveHint=true, so 'Idempotent' in the description repeats structured data. 'Free' adds genuinely new cost/quota context absent from annotations, but the description does not clarify that unwatching destroys no underlying company data despite the destructive hint.

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 short, front-loaded clauses with zero waste; the operation is stated first and qualifying traits follow.

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 simple two-required-param mutation with no output schema, the essentials are present, but it omits how the watch is identified/confirmed and does not reconcile the destructive hint with this being a harmless reversible preference change.

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% and both parameters are fully documented with enum and identifier-format detail, so the schema carries the burden. The description adds nothing about the country/regNo pair.

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 ('Stop watching a company'), which is unambiguously the inverse of the sibling watch_company. It doesn't explicitly name that sibling, but the naming symmetry makes the distinction obvious.

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?

Usage is implied by the operation: you call it when you no longer want to track a company. There is no explicit when-to-use/when-not guidance, no mention of prerequisites (must the company already be watched?) or of how to find currently watched companies via list_watched.

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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