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Acumatica MCP Server and API by Cotlet

Release invoice in Acumatica

acumatica_release_invoice
Read-onlyIdempotent

Release invoice in the user's own Acumatica account from ChatGPT, Claude or any AI agent. Returns how to do it in Acumatica step by step (screens, buttons, fields) and opens nothing by itself; then do it with the cotlet_browser_* tools in the user's Acumatica Cloud Browser. Acumatica's official API: Yes.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "acumatica_release_invoice"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.1/5.0
Behavior5/5

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

The annotations already declare readOnlyHint, idempotentHint and non-destructive, but the description adds the critical fact beyond them: this tool returns instructions only and 'opens nothing by itself', with the actual release performed by browser tools. That prevents an agent from assuming the invoice was released after calling it, which is the highest-value disclosure for this tool. It also notes the guidance reflects Acumatica's official API.

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

Conciseness3/5

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

The core guidance is front-loaded in the second clause, but there is waste: the 'from ChatGPT, Claude or any AI agent' fragment adds little, and the trailing 'Acumatica's official API: Yes.' is an awkward, ambiguous sentence fragment. The two-sentence structure works but could be tightened.

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?

With no output schema and no parameters, the description carries the burden of explaining the return value, and it does (step-by-step screens/buttons/fields). It is nearly complete for a zero-arg guidance tool. Gaps remain around edge cases, such as what the guide returns if the invoice is missing or already released, and the meaning of the 'official API: Yes' note is unclear.

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

Parameters4/5

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

The tool takes zero parameters, so the baseline is 4 and there is no parameter meaning to add. The description correctly implies no inputs are needed and focuses on the return value instead.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description names a specific verb and resource (release an invoice in the user's Acumatica account) and then clarifies the actual output: a step-by-step guide with screens, buttons and fields. The opening sentence alone could be misread as performing the release, but the follow-up resolves it. It does not explicitly distinguish itself from siblings like acumatica_approve_payment or acumatica_create_ar_invoice.

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?

It clearly states the workflow: call this to get instructions, then execute with the cotlet_browser_* tools in the Acumatica Cloud Browser. That is concrete routing to the right alternatives for the action step. It stops short of saying when not to use it (e.g. versus a direct API sibling) or what prerequisites are needed before calling.

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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