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LiveChat (Text) MCP Server and API by Cotlet

Reply in chat in LiveChat (Text)

livechat_reply_in_chat
Read-onlyIdempotent

Reply in chat in the user's own LiveChat (Text) account from ChatGPT, Claude or any AI agent. Returns how to do it in LiveChat (Text) step by step (screens, buttons, fields) and opens nothing by itself; then do it with the cotlet_browser_* tools in the user's LiveChat (Text) Cloud Browser. LiveChat (Text)'s official API: LiveChat (Text) has a full REST API, the Agent Chat API and the Configuration API, but only a narrow official MCP server (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": "livechat_reply_in_chat"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.5/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false, and the description's 'opens nothing by itself' is consistent with them while adding the actual return shape (step-by-step UI guidance). However, the final sentence about LiveChat's REST/Agent/Configuration APIs and the 'narrow official MCP server' is background trivia that discloses nothing about this tool's behavior or output format.

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 operative purpose is front-loaded, but the text repeats the product name five times and appends an unrelated paragraph about LiveChat's API surface and a 'checked 17 Oct 2026' audit note. That sentence does not help an agent decide or invoke anything and should be cut.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a zero-parameter, no-output-schema guidance tool, the description covers what it returns and what to do next. What it omits is significant: with no inputs and no return schema, an agent cannot tell how the guide is scoped to a specific chat or conversation, or what the returned instructions actually look like as a payload.

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 and the schema coverage is complete, so the baseline of 4 applies. The description adds no parameter meaning, but none is needed. It could have explained the consequence of the empty schema (no chat targeting), which would have earned a 5.

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 action and, more importantly, corrects the misleading name: it returns step-by-step instructions ('screens, buttons, fields') and 'opens nothing by itself,' rather than performing a reply. It also names the follow-up family (cotlet_browser_*) so the agent can place it relative to siblings. The heavy repetition of 'LiveChat (Text)' throughout dilutes rather than sharpens the statement.

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 gives an explicit sequencing rule: call this to get instructions, then execute them with the cotlet_browser_* tools in the Cloud Browser. That is concrete routing guidance. It never states when NOT to use it, and with zero input parameters there is no explanation of how the target chat is identified, which leaves a real usage gap.

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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