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Kustomer MCP Server and API by Cotlet

Reply to conversation in Kustomer

kustomer_reply_to_conversation
Read-onlyIdempotent

Reply to conversation in the user's own Kustomer account from ChatGPT, Claude or any AI agent. Returns how to do it in Kustomer step by step (screens, buttons, fields) and opens nothing by itself; then do it with the cotlet_browser_* tools in the user's Kustomer Cloud Browser. Kustomer's official API: Kustomer has a full REST API with API keys, and an official MCP server that is read-only (checked 17 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": "kustomer_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?

The description adds real context beyond the annotations: it explicitly says the tool opens nothing by itself and only returns procedural guidance, which is consistent with readOnlyHint=true and destructiveHint=false. The trailing note about Kustomer's REST API and read-only official MCP server is informational noise rather than behavioral disclosure, keeping it from a 5.

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 first two sentences are front-loaded and useful, but the final sentence about Kustomer's official API and MCP server is tangential and does not help the agent invoke this tool. The sentence is also tangled, packing the return value, the non-execution warning, and the follow-up tool family into one clause.

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, the description correctly explains what comes back (step-by-step screens, buttons, fields) and what to do next with the browser tools. The main gap is that a reply normally requires identifying a conversation and composing text, and the definition never explains how that information is passed given an empty schema.

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?

With zero parameters and full schema coverage, the baseline is 4; there is nothing to disambiguate. It would help to explain how the agent scopes the conversation and supplies reply content, but the lack of parameters means there is little the description could misstate.

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+resource (reply to a conversation) and then clarifies that the call actually returns a step-by-step procedure rather than performing the reply. That clarification is essential because the name alone suggests execution. It is not fully differentiated from adjacent write-ish siblings such as kustomer_add_internal_note, so it falls short of a 5.

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 execution path: call this to get instructions, then act with cotlet_browser_* tools. However, it never says when to pick this over kustomer_add_internal_note or kustomer_tag_conversation, and with zero parameters it gives no guidance on how the target conversation or reply text is conveyed.

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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