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Fatture in Cloud: Get e-invoice status

fatture-in-cloud_get_einvoice_status
Read-only

Fatture in Cloud: Read the SDI status of an invoice. Returns the ei_status of the invoice. Values: attempt, missing, not_sent, sent, pending, processing, error, discarded, not_delivered, accepted, rejected, no_response, manual_accepted, manual_rejected. For discarded invoices, follow with get_einvoice_rejection_reason. Needs the user's Cotlet API key with access to this app.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
company_idNoCompany ID. Optional when your account has one company.
invoice_idYesInvoice ID from list_invoices or create_invoice.

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 readOnly/destructive=false/openWorld. The description adds non-obvious context: the full set of possible ei_status outcomes, the downstream call for discarded invoices, and the auth prerequisite (Cotlet API key with app access). It stops short of describing error/failure 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?

Front-loaded with purpose, then the status enumeration and follow-up rule; every block earns its place because the enum values are not in the schema. Minor redundancy between 'Read the SDI status' and 'Returns the ei_status of the invoice.'

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?

With no output schema and no schema enums, the description carries the return-value burden by listing all ei_status values inline, names the follow-up tool, and states the auth requirement — everything an agent needs to call and interpret this correctly.

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% — both company_id and invoice_id are documented, including that invoice_id comes from list_invoices/create_invoice. The description adds no parameter-level detail beyond that, so the baseline 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?

States a specific verb and resource ('Read the SDI status of an invoice') and pins down the exact field returned ('ei_status'). This clearly distinguishes it from siblings like get_invoice, verify_einvoice, and send_einvoice without needing 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?

Gives an explicit conditional next step: 'For discarded invoices, follow with get_einvoice_rejection_reason,' which routes the agent to a specific sibling. It does not, however, say when to use this versus verify_einvoice or how it fits after send_einvoice, so guidance is strong but not exhaustive.

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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