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ReciboPro Invoices

Create a ReciboPro invoice draft

create_invoice_draft
Idempotent

Builds an invoice draft from details the user stated and returns a private link where they review it and send it themselves (e.g. on WhatsApp). Never sends anything. Only use prices, taxes and client details the user gave. Links, bank/tax-authority/payment-brand names are not allowed.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
itemsYes
notesNo
currencyNoUSD
due_dateNo
languageNoen
tax_rateNo
client_nameNo
client_emailNo
client_phoneNo
business_nameNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.1/5.0
Behavior4/5

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

Annotations declare the safety profile (readOnlyHint=false, idempotentHint=true, destructiveHint=false), and the description adds genuinely useful context beyond them: nothing is ever sent, a review link is produced, and the user completes sending. It doesn't cover rate limits or failure behavior, but the review-before-send model is well disclosed.

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?

Three short sentences with the core purpose and the no-send guarantee front-loaded, followed by content restrictions. No filler.

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?

No output schema exists, and the description explains the return (a private review link) and the no-send semantics, which is what an agent most needs. Given 10 undocumented parameters, it could say more about the optional fields, but the essential behavior is complete.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0% across 10 parameters, so the schema documents structure but not meaning. The description constrains what data may go into the invoice (user-stated prices/taxes/client details, no links or institution names), which is real guidance, but it never addresses individual parameters such as currency, language, due_date, or tax_rate.

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 ('Builds an invoice draft') plus the concrete outcome ('returns a private link where they review it and send it themselves'). This is clearly distinguishable from the sibling get_supported_options.

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 explicit content constraints ('Only use prices, taxes and client details the user gave. Links, bank/tax-authority/payment-brand names are not allowed') that define when and how to use it. It stops short of naming an alternative tool or stating exclusions relative to siblings, but the operating conditions are clear.

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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