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Red MCP Server

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by BigRedCloud

brc_create_sales_invoice_gen_ref

Creates a sales invoice with an auto-generated reference for companies configured for auto-generated sales references. Requires real products, explicit user confirmation, and valid sales reps.

Instructions

Creates a BRC sales invoice with an auto-generated reference using a raw BRC payload. Use when the company is configured for auto-generated sales references. Draft previews include a Missing or not provided section for blank customer phone or email only — warnings only, do not invent values. In the raw payload, the BRC "Note" field (JSON note) defaults to the customer name (BRC customer "Name" / JSON name) when omitted and must never be set to the product name; the BRC "Delivery To" address (JSON deliveryTo) is only included when explicitly provided. Optional. BRC "Note" field on the sales document (JSON field note). Leave blank to default it to the customer name (BRC customer "Name" / JSON name). Do not use the product name as the note. Only set this when the user explicitly provides a note. Optional. BRC "Delivery To" address (JSON field deliveryTo). Leave blank unless the user explicitly provides a delivery address. Do not invent or default a delivery address (for example "MCP Test"). Requires saleRepId and saleRepCode. Do not use default or demo sales rep values. If missing, list sales reps or ask the user to choose one before creating. Requires analysisCategoryId and accountCode from a Sales Analysis category on each product line. Do not default to CR01/Customer or the first listed category. Set confirmCrAnalysisCategory=true only after the user confirms a CR account code is intentional. When Gross Price Entry is enabled for sales invoicing, this tool requires priceBasis. Use priceBasis "gross" when unit prices are VAT-inclusive/gross, or priceBasis "net" when unit prices are VAT-exclusive/net. Do not tell the user to disable Gross Price Entry if they have provided priceBasis. Do not invent productId values and do not use productId 0 or 1 as placeholders. productId 0 and 1 are treated as placeholders and are blocked at runtime before the draft preview and before posting. If a product line is needed, first call brc_list_products and use a real product from the connected company. If no suitable product exists, ask the user whether to create/select a product, or use a service/non-product line only if the endpoint supports it. Sales invoices must use Sales VAT rates. Purchase/non-Sales VAT rates are blocked before draft and before posting, even if the VAT percentage matches. First call without confirmWrite: true returns confirmation_required and a payload preview — show a plain-English draft in chat, then retry with confirmWrite: true only after explicit user confirmation in a later message. Passing preflight is not confirmation. Also requires confirmCounterpartyExplicit: true once the user has explicitly named or confirmed the customer/supplier in the current conversation. Do not reuse a counterparty from an earlier draft without that confirmation.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
payloadYes
priceBasisNoRequired when Gross Price Entry is enabled. Use `gross` when unit prices are VAT-inclusive/gross. Use `net` when unit prices are VAT-exclusive/net.
companyNameYesCompany context name, for example YOUR-COMPANY-NAME.
confirmWriteNoMust be true only after a plain-English draft has been shown in the current conversation and the user explicitly confirmed posting (for example yes, create it / post it now / confirm). Never set true on the first call or because the user initially asked to create something.
confirmCrAnalysisCategoryNoSet true only after the user confirms a CR sales analysis account code is intentional for this product line.
confirmCounterpartyExplicitNoMust be true only after the user explicitly named or confirmed the customer, supplier, or other counterparty in the current conversation. Never set true because a customer or supplier appeared in an earlier draft, was inferred from context, or was filled in without the user's explicit choice in this conversation.
Behavior4/5

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

Despite no annotations, the description discloses many behavioral traits: creation mutation, preflight confirmation, blocked values (productId 0/1, purchase VAT), default behavior (note defaults to customer name), and the confirmation_required response. However, it does not describe the final success response structure, which is a notable omission.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness2/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is overly verbose and repetitive (e.g., note and deliveryTo instructions repeated). It is a dense block of text lacking structure, which makes it harder for an AI agent to parse quickly. While front-loaded with purpose, conciseness is poor.

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?

Given the tool's complexity (6 parameters, nested payload, no output schema), the description covers most essential aspects: usage context, parameter semantics, behavioral rules, and confirmation flow. The only gap is the lack of output structure explanation, but overall it is quite complete.

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

Parameters5/5

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

The input schema covers 83% of parameters, but the description adds significant value for the payload parameter, detailing expected fields (note, deliveryTo, saleRepId, etc.) and constraints. For priceBasis and confirmation flags, the description reinforces and clarifies schema descriptions, making parameter semantics excellent.

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 it creates a BRC sales invoice with auto-generated reference, distinguishing it from the sibling brc_create_sales_invoice (which likely uses manual reference). The verb 'creates' and resource 'sales invoice' are specific, and the condition of auto-generated references is explicitly mentioned.

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

Usage Guidelines5/5

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

The description provides extensive usage guidance: when to use (auto-generated references), what to avoid (default values, placeholders, purchase VAT rates), and the precise confirmation workflow (preflight first, then confirmWrite, plus confirmCounterpartyExplicit). It explicitly states do's and don'ts.

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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