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FreeScout MCP Server and API by Cotlet

Read conversation in FreeScout

freescout_read_conversation
Read-onlyIdempotent

Read conversation in the user's own FreeScout account from ChatGPT, Claude or any AI agent. Returns how to do it in FreeScout step by step (screens, buttons, fields) and opens nothing by itself; then do it with the cotlet_browser_* tools in the user's FreeScout Cloud Browser. FreeScout's official API: FreeScout has a REST API, but only through its paid API & Webhooks module, and it has no official MCP server (checked 23 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": "freescout_read_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?

Annotations already declare readOnlyHint, idempotentHint, non-destructive and openWorldHint=false, so the safety profile is covered. The description adds the critical non-obvious behavior beyond that: 'opens nothing by itself', i.e. it performs no browser navigation and simply returns instructions. The note about FreeScout's paid-only REST API also explains why the browser path is required.

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 behavioral clarification and the browser hand-off are front-loaded and earn their place, but the opening 'from ChatGPT, Claude or any AI agent' is marketing padding, and the API & Webhooks module aside with a dated check adds length without changing how the agent invokes the tool.

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 and no output schema, the description carries the burden of saying what comes back, and it does: step-by-step screens, buttons and fields. Combined with the explicit 'opens nothing by itself' caveat and the cotlet_browser_* follow-up, an agent has enough to call it and act on the result.

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, which is the baseline-4 case. There is nothing for the description to disambiguate at the parameter level.

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 concrete deliverable: 'Returns how to do it in FreeScout step by step (screens, buttons, fields)'. That clarifies that despite the name 'read_conversation' the tool is a guide, not an executor, which is the key distinction an agent needs. It stops short of a crisp one-line summary of what this returns versus the other freescout_* action tools.

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 explicit routing: use this to learn the steps, 'then do it with the cotlet_browser_* tools in the user's FreeScout Cloud Browser'. That tells the agent both when to use it and what to use next. It does not state when NOT to use it or mention cotlet_app_guide as an alternative for general app guidance.

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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