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Fatture in Cloud: List invoices

fatture-in-cloud_list_invoices
Read-only

Fatture in Cloud: List issued invoices, filtered by date, client or payment status. Returns issued invoices with number, date, client, net, VAT and gross amounts and payment status, newest first. Use page and per_page to move through long lists. Needs read access to issued invoices. Needs the user's Cotlet API key with access to this app.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pageNoPage number, starting at 1. Default: 1.
date_toNoISO date. Invoices dated on or before it.
per_pageNoResults per page. Default: 50.
client_idNoOnly invoices of this client, from list_clients.
date_fromNoISO date. Invoices dated on or after it.
company_idNoCompany ID. Optional when your account has one company.
due_beforeNoISO date. Only invoices with an open payment due before it.
payment_statusNonot_paid or paid.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.2/5.0
Behavior4/5

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

Annotations already declare readOnlyHint/openWorldHint/destructiveHint, so the safety profile is covered; the description adds the sort order (newest first), the returned field set, and the access prerequisites (read access to issued invoices, app-scoped Cotlet API key). That is meaningful context beyond the annotations.

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?

Four short sentences, well front-loaded with purpose then filters then return shape then prerequisites. 'Issued invoices' is repeated once unnecessarily, but there is 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?

No output schema exists, and the description compensates by enumerating the returned fields and sort order; it also covers the auth requirement. For an 8-param read-only list tool, nothing essential is missing.

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 coverage is 100% with all 8 parameters individually documented, so the schema carries the semantics. The description echoes the filter categories and pagination but adds no syntax or format detail beyond what the schema already states.

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?

Names a specific verb and resource with scope: 'List issued invoices', distinguishing issued invoices from the sibling list_clients/list_expenses tools. An agent can tell what this returns without opening the 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?

States the filter dimensions (date, client, payment status) and points to page/per_page for long lists, giving clear context for use. It stops short of naming an alternative tool or an explicit when-not condition.

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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