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Chatwoot MCP Server and API by Cotlet

Reply to conversation in Chatwoot

chatwoot_reply_to_conversation
Read-onlyIdempotent

Reply to conversation in the user's own Chatwoot account from ChatGPT, Claude or any AI agent. Returns how to do it in Chatwoot step by step (screens, buttons, fields) and opens nothing by itself; then do it with the cotlet_browser_* tools in the user's Chatwoot Cloud Browser. Chatwoot's official API: Chatwoot has a full REST API, the Application API, and an official command-line client, but no official MCP server (checked 22 Oct 2026).

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": "chatwoot_reply_to_conversation"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.7/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false, and the description reinforces this with the concrete claim that it 'opens nothing by itself' — closing the gap between the action-sounding name and the read-only behavior. It also discloses the shape of the return content (screens, buttons, fields). It does not mention prerequisites such as whether the user must already have Chatwoot connected in a Cloud Browser.

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 sentence is front-loaded and useful, but the trailing note about Chatwoot's REST API, Application API, CLI, and the date of an MCP-server check does not help an agent decide or invoke anything. That sentence is justification copy rather than operational information.

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?

For a zero-parameter, read-only guidance tool with no output schema, the description covers what it returns and what it does not do. The remaining gap is the precondition for the follow-up browser step and what happens if the user's Chatwoot session is not available.

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 there is nothing for the description to disambiguate and the baseline applies. The description correctly implies no inputs are required to get the walkthrough.

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 states a specific verb and resource (reply to a conversation) and immediately clarifies the actual behavior: it returns step-by-step UI instructions rather than performing the reply. That clarification is essential and well placed. It does not, however, contrast itself with sibling tools such as chatwoot_add_private_note, so an agent must infer which sibling to pick for the actual message variant.

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

Usage Guidelines3/5

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

It gives a clear two-step workflow: call this tool to obtain the procedure, then execute it with the cotlet_browser_* tools. There is no explicit when-not-to-use guidance and no routing between this and the other chatwoot_* action siblings, so selection still requires inference.

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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