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Checkatrade MCP Server and API by Cotlet

Reply to a lead in Checkatrade

checkatrade_reply_to_a_lead
Read-onlyIdempotent

Reply to a lead in the user's own Checkatrade account from ChatGPT, Claude or any AI agent. Returns how to do it in Checkatrade step by step (screens, buttons, fields) and opens nothing by itself; then do it with the cotlet_browser_* tools in the user's Checkatrade Cloud Browser. Checkatrade's official API: Checkatrade has an official API, but not for members (checked 31 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": "checkatrade_reply_to_a_lead"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4/5.0
Behavior3/5

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

The claim "opens nothing by itself" is consistent with readOnlyHint=true and destructiveHint=false, and it usefully adds that the return value is a screen/button/field walkthrough despite there being no output schema. However, most of the behavioral content restates what the annotations already declare, so it adds only modest extra context beyond them.

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 core statement is front-loaded and clear, but "from ChatGPT, Claude or any AI agent" is promotional filler and the trailing aside about Checkatrade's official API (with a strange future date, "checked 31 Oct 2026") does not help an agent decide or invoke. Tightening to the procedure-plus-handoff sentence would lose nothing.

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?

For a zero-parameter tool with no output schema, the description covers the essentials: what it returns (step-by-step screens, buttons, fields) and how to continue (cotlet_browser_*). Only the ambiguity of exactly what a "lead" is versus a quote/opportunity is left unaddressed.

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 the schema carries no semantic burden and the baseline applies. Nothing in the description conflicts with the empty input schema or wrongly implies arguments.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb and resource ("Reply to a lead in the user's own Checkatrade account") and immediately disambiguates the biggest risk: this tool does not perform the action, it returns step-by-step instructions. It also names the follow-up tools (cotlet_browser_*) that actually execute, separating it from the other checkatrade_* 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?

Explains the intended flow (get the procedure here, then act with cotlet_browser_* in the Cloud Browser) and justifies why no direct API path exists. It stops short of explicit exclusions, e.g. when to prefer a sibling like checkatrade_send_a_quote instead of replying to a lead.

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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