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AMKRS3

keycae-mcp

emit_invoice

Emit Argentine electronic invoices (factura electrónica) via ARCA/AFIP. Get CAE, PDF, and QR code for compliance with local tax regulations.

Instructions

Emit an Argentine electronic invoice (factura electrónica) via ARCA/AFIP. Returns CAE, PDF URL, and QR code.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
cuit_emisorYesCUIT of the invoice issuer (11 digits)
punto_de_ventaYesPoint of sale number (punto de venta)
tipo_comprobanteYesInvoice type: A (IVA discriminado), B (consumidor final), C (exento), M (monotributo), E (exportación)
receptorYesInvoice recipient
conceptosYesLine items
monedaNoCurrency code (PES for ARS)PES
fecha_servicioNoService date (YYYY-MM-DD) for service invoices
Behavior2/5

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

With no annotations, the description must fully disclose behavioral traits. It mentions the outputs (CAE, PDF URL, QR code) but omits important details such as side effects (the invoice is stored and cannot be undone), authentication requirements, rate limits, or error conditions. The description is insufficient for safe invocation.

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?

The description is two sentences long, front-loaded with the core purpose and outputs. Every sentence adds value, and there is no redundant information.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Despite high complexity (nested objects, 7 parameters, no output schema), the description is minimal. It lacks details on error handling, return format, or necessary pre-checks (e.g., delegation). An agent would likely struggle to use this tool correctly without additional context.

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%, so the input schema already documents all parameters thoroughly. The description adds no extra parameter meaning beyond summarizing outputs. Thus, the baseline score of 3 is appropriate.

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 clearly states the specific action 'emit an Argentine electronic invoice' with the official system 'ARCA/AFIP' and lists concrete outputs (CAE, PDF URL, QR code). It effectively distinguishes the tool from siblings like list_invoices (retrieval) or check_delegation (authorization).

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

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

The description provides no guidance on when to use this tool versus alternatives, nor does it mention prerequisites such as running check_delegation or check_emission_capability first. No 'when not to use' or context for selecting between sibling tools is given.

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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