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GoHighLevel MCP Server and API by Cotlet

Add trigger in GoHighLevel

gohighlevel_add_trigger
Read-onlyIdempotent

Add trigger 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_add_trigger"
  }
}

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=true, idempotentHint=true and destructiveHint=false, and the description is consistent with them by stating 'opens nothing by itself'. The added detail about what is returned (screens, buttons, fields) is genuinely useful behavioral context beyond the annotations. The trailing 'GoHighLevel's official API: Yes' is opaque and adds little.

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 message is front-loaded, but the sentences are long and run together, and phrases like 'from ChatGPT, Claude or any AI agent' and 'GoHighLevel's official API: Yes' are filler or unexplained metadata. Trimming those would make the call-to-action (use browser tools) much sharper.

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 output schema, the description carries the burden of describing returns, and it does so reasonably ('step by step (screens, buttons, fields)'). For a zero-parameter, non-mutating guidance tool, an agent has enough to call it correctly, though it never states what the guidance looks like structurally or whether it varies by trigger type.

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 parameter meaning to convey and the baseline of 4 applies. Nothing in the description conflicts with the empty schema.

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 a specific verb and resource (add a trigger in GoHighLevel) and, crucially, clarifies that the tool only returns step-by-step guidance rather than performing the action. It does not explicitly distinguish itself from close siblings like gohighlevel_add_action or gohighlevel_create_workflow, which keeps it short of a 5.

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 a clear two-step workflow: call this to get the screen/button/field instructions, then act with the cotlet_browser_* tools. That names the alternative tools to use for the actual execution. It stops short of stating when NOT to use it, e.g. when a workflow already exists or versus gohighlevel_add_action.

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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