Skip to main content
Glama
almostnine

Fatture in Cloud MCP

by almostnine

Elenchi di supporto

fic_reference_data
Read-onlyIdempotent

Fetch company and general reference lists, including payment accounts, VAT types, payment methods, cost/revenue centers, and categories, to retrieve IDs needed by other Fatture in Cloud operations.

Instructions

Elenchi di riferimento dell'azienda e generali: payment_accounts (conti di saldo (banca, cassa...) su cui registrare gli incassi); payment_methods (metodi di pagamento (bonifico, contanti...)); vat_types (aliquote IVA e nature (N2.2 forfettario, esenzioni...): le righe dei documenti vanno indicate per id); cost_centers (centri di costo); revenue_centers (centri di ricavo); received_document_categories (categorie delle spese); product_categories (categorie dei prodotti); archive_categories (categorie dell’archivio); templates (modelli grafici dell’azienda); default_templates (modelli grafici predefiniti); price_lists (listini prezzi); currencies (valute); countries (paesi); detailed_countries (paesi con codici ISO); languages (lingue dei documenti); units_of_measure (unità di misura); delivery_note_causals (causali di trasporto dei DDT); cities (comuni italiani (serve postal_code o city)). Usalo per trovare gli ID da passare agli altri tool: conto di saldo per segnare una rata pagata, aliquota IVA per le righe di un documento, metodo di pagamento, centro di ricavo. Reference lists: payment accounts, payment methods, VAT types, cost and revenue centers, categories, currencies, countries, languages, units, templates, cities, price lists.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
cityNoSolo per cities: nome del comune.
listYesElenco da leggere.
contextNoSolo per product_categories.
postal_codeNoSolo per cities: CAP.
price_list_idNoSolo per price_lists: restituisce le voci di quel listino.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

A4.3/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false and openWorldHint=false, so the safety profile is covered. The description goes beyond them by explaining what each list actually contains and by surfacing the conditional requirements (vat_types rows are referenced by id; cities requires postal_code or city), which is real operational context.

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?

Front-loaded with the list enumeration and then the usage sentence, and each list entry earns its place by explaining content. However the trailing English summary largely repeats the Italian enumeration already given, adding length without new information.

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 5 parameters, one required, no output schema and no nested objects, the description is complete enough: it explains what each list returns and how the results are consumed downstream. It does not need to describe return shape, though it leaves the exact output format unspecified.

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 100%, so the baseline is 3. The description still adds value beyond the schema by giving semantic meaning to each enum value (what a conto di saldo, aliquota IVA or centro di ricavo is used for) and by flagging the cities parameter dependency, so it rises above the baseline.

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 unambiguously identifies this as the company/general reference-data lookup and enumerates every list it exposes (payment_accounts, vat_types, cost_centers, cities, etc.). An agent can tell it apart from the document-, entity- and cashbook-oriented siblings because this is the tool that supplies IDs rather than consuming them.

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 states the operative purpose explicitly: 'Usalo per trovare gli ID da passare agli altri tool', with concrete examples (conto di saldo, aliquota IVA, metodo di pagamento, centro di ricavo). That is clear when-to-use guidance, but there are no when-not-to-use conditions or named alternative tools.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.