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Trengo MCP Server and API by Cotlet

Close conversation in Trengo

trengo_close_conversation
Read-onlyIdempotent

Close conversation in the user's own Trengo account from ChatGPT, Claude or any AI agent. Returns how to do it in Trengo step by step (screens, buttons, fields) and opens nothing by itself; then do it with the cotlet_browser_* tools in the user's Trengo Cloud Browser. Trengo's official API: Trengo has a REST API for conversations, messages, contacts, labels, WhatsApp templates and reporting, but no official MCP server (checked 20 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": "trengo_close_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, idempotentHint=true and destructiveHint=false, so the safety profile is covered. The description adds real value beyond that by stating the tool 'opens nothing by itself' and returns a how-to walkthrough, which prevents an agent from believing the conversation is actually closed after this call.

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 operational content is front-loaded and useful, but the trailing sentence about Trengo's REST API surfaces and the absence of an official MCP server ('checked 20 Oct 2026') is marketing/trivia that does not help an agent decide or invoke. Roughly a third of the description is filler that dilutes the key 'returns instructions, does not act' message.

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 parameters, no output schema and annotations covering safety, the description needs mainly to explain what comes back and what to do next, and it does both (step-by-step screens/buttons/fields, then cotlet_browser_* tools). It would be stronger if it sketched the shape or length of the returned guide, but nothing essential to correct invocation is missing.

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 has additionalProperties set to false, so there is no parameter meaning to explain. Baseline 4 applies; nothing in the schema requires compensation from the description.

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 the specific operation (closing a conversation in the user's own Trengo account) and immediately clarifies the real deliverable: step-by-step instructions covering screens, buttons and fields. That verb+resource pairing is concrete enough to pick the tool, though an agent skimming only the name could still assume it performs the close itself.

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 does route the agent forward, saying to perform the action with the cotlet_browser_* tools in the Trengo Cloud Browser after calling this one, which is genuine workflow guidance. It never says when not to use this tool or which trengo_* siblings (e.g. trengo_read_a_conversation) are the alternative for inspecting a conversation before closing it.

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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