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Freshchat MCP Server and API by Cotlet

Assign conversation in Freshchat

freshchat_assign_conversation
Read-onlyIdempotent

Assign conversation in the user's own Freshchat account from ChatGPT, Claude or any AI agent. Returns how to do it in Freshchat step by step (screens, buttons, fields) and opens nothing by itself; then do it with the cotlet_browser_* tools in the user's Freshchat Cloud Browser. Freshchat's official API: Freshchat has a REST API (v2) 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": "freshchat_assign_conversation"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.9/5.0
Behavior4/5

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

The annotations already declare readOnlyHint=true, destructiveHint=false, idempotentHint=true and openWorldHint=false, so the safety profile is covered. The description usefully adds that nothing is opened or mutated by the call itself and that the return value is a procedural walkthrough. It doesn't say how granular the returned steps are or whether they vary by conversation state, but the added context is real and consistent with the annotations.

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

Conciseness4/5

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

The operative content — returns a step-by-step guide, performs no action, execute via cotlet_browser_* — is front-loaded and easy to act on. However, the opening clause about ChatGPT, Claude or any AI agent is marketing filler, and the 'checked 22 Oct 2026' parenthetical about API availability is irrelevant to calling the tool.

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?

With no input schema and no output schema, the description carries the full burden, and it does explain what comes back and what to do next. The significant gap is that a zero-parameter tool for assigning a conversation never explains how the target conversation or assignee is identified — the agent must infer that context is implicit or supplied through the browser tools.

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 no schema semantics to supplement and the baseline of 4 applies. Nothing in the description contradicts or misrepresents the empty parameter list.

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 resource (a Freshchat conversation assignment) and, crucially, clarifies the actual deliverable: step-by-step screens/buttons/fields rather than a performed action. The phrase 'opens nothing by itself' disambiguates it from the cotlet_browser_* tools that do the executing. It loses a point only because the name/title still reads as an action, which could momentarily mislead before the description corrects it.

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 execution chain: call this first to learn the procedure, then carry it out with the cotlet_browser_* tools in the user's Freshchat Cloud Browser. That is a clear when-to-use signal. What's missing is any exclusion or mention of the closely related cotlet_app_guide sibling, so the agent gets no help choosing between this and a general app guide.

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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