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GoHighLevel MCP Server and API by Cotlet

Read workflow stats in GoHighLevel

gohighlevel_read_workflow_stats
Read-onlyIdempotent

Read workflow stats in the user's own GoHighLevel account from ChatGPT, Claude or any AI agent. Returns how to do it in GoHighLevel step by step (screens, buttons, fields) and opens nothing by itself; then do it with the cotlet_browser_* tools in the user's GoHighLevel Cloud Browser. GoHighLevel's official API: Yes.

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": "gohighlevel_read_workflow_stats"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, openWorldHint=false, destructiveHint=false, and the description usefully reinforces the non-acting nature with 'opens nothing by itself.' It also discloses the shape of the return value (step-by-step screens, buttons, fields), which annotations cannot convey. The trailing 'GoHighLevel's official API: Yes' is cryptic and arguably conflicts with the screens/buttons UI framing, and nothing is said about how many steps or how they are formatted.

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?

Three sentences, all of which carry operational meaning except the generic AI-agent framing at the start. The most important constraint ('opens nothing by itself; then do it with cotlet_browser_*') appears in the middle rather than up front. 'GoHighLevel's official API: Yes' is a fragment whose meaning is not recoverable.

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, non-destructive guide tool with full annotation coverage and no output schema, the description covers what an agent needs: it explains that the call yields instructions, not data, and that browser tools do the actual work. Missing only whether a browser must already be open and what the step payload looks like.

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 nothing for the schema to document and no semantic burden on the description. Baseline for a zero-param tool is 4, and the description correctly implies no input is required.

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 does state the real function: it 'Returns how to do it in GoHighLevel step by step (screens, buttons, fields)' and 'opens nothing by itself,' which tells an agent this is an instructional lookup rather than a data fetch. The opening sentence ('Read workflow stats ... from ChatGPT, Claude or any AI agent') is marketing framing that suggests data retrieval and sits in tension with the clarifying clause, and no sibling apart from cotlet_browser_* is distinguished.

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 two-step usage pattern: call this to get the steps, then execute them 'with the cotlet_browser_* tools in the user's GoHighLevel Cloud Browser.' That is actionable routing. It does not say when to prefer this over the similarly-shaped cotlet_app_guide sibling, nor what preconditions (e.g. an already-open browser session) apply.

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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