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get_italian_company_official_documents_list

Recupera un elenco di endpoint di visure camerali disponibili per una azienda da usare con il tool get_italian_company_official_document fornendo la sua Partita IVA o il suo Codice Fiscale. Args: vat_or_taxCode: vatCode or taxCode of an italian company

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "vat_or_tax_code": "<vat_or_tax_code>"
    },
    "name": "get_italian_company_official_documents_list"
  }
}

Input Schema

NameRequiredDescriptionDefault
vat_or_tax_codeYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.1/5.0
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 discloses the return shape at a high level (a list of endpoints) and that it is a lookup ("Recupera"), but does not mention permissions, rate limits, whether an unknown VAT/tax code errors or returns empty, or any cost/async behavior.

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?

The core purpose sentence is front-loaded and waste-free, with the argument documented briefly afterward via a conventional "Args" block. The bilingual mismatch (Italian prose, English arg labels) is slightly inelegant but does not bloat the text.

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 single-parameter lookup tool with no output schema and no annotations, the description covers what it does, what it returns conceptually, and how it chains to get_italian_company_official_document. It stops short of describing error/empty-result behavior, which is the main remaining gap.

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 description coverage is 0%, so the description must compensate, and it does: it explains that the single argument is the company's VAT code OR tax code. Minor drawback: it names the arg "vat_or_taxCode" while the schema uses "vat_or_tax_code", and it doesn't state accepted formats (e.g. length/prefix).

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 states a concrete verb ("Recupera") and resource ("elenco di endpoint di visure camerali disponibili per una azienda"), and explicitly positions itself against the sibling get_italian_company_official_document by saying the returned endpoints are meant to feed that tool. An agent can distinguish this discovery/lookup tool from the document-fetching sibling 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 Guidelines4/5

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

It clearly states the context of use: call this to get the available document endpoints, then use them with get_italian_company_official_document. However, it gives no when-not guidance (e.g. no note about what happens if the company has no documents, or whether this must precede the fetch tool).

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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