create_whatsapp_template

Create a WhatsApp template (submits for approval)

SERVERGoHighLevel MCP Server SOURCEbusybee3333/go-high-level-mcp-2026-complete

Medium RISK CLASS

Category Write

Parameters 00 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/busybee3333-go-high-level-mcp-2026-complete/create-whatsapp-template.md

WHAT IT DOES

What create_whatsapp_template does on GoHighLevel MCP Server

AI agents use create_whatsapp_template to create or update resources in GoHighLevel MCP Server, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your GoHighLevel MCP Server environment.

RISK

Why create_whatsapp_template is rated Medium

This tool creates and submits a new WhatsApp messaging template for approval. It is a Write operation because it irreversibly creates a new data object (the template) that persists in the system. While the template requires approval before use, the creation itself commits the data.

From the tool's definition create_whatsapp_template: Create a WhatsApp template (submits for approval) - the word 'Create' indicates data creation, and 'submits for approval' shows the template is being persisted in the system.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs create_whatsapp_template safely

PolicyLayer is an MCP gateway: it sits between your AI agents and GoHighLevel MCP Server, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For create_whatsapp_template, this is the rule to start with:

create_whatsapp_template Rate-limited

create_whatsapp_template stays usable, but capped: an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "create_whatsapp_template": {
      "limits": [
        {
          "counter": "create_whatsapp_template_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect GoHighLevel MCP Server, apply this rule, and every create_whatsapp_template call is checked against it from then on.

FAQ

Questions about create_whatsapp_template

What does the create_whatsapp_template tool do? +

Create a WhatsApp template (submits for approval). It is categorised as a Write tool in the GoHighLevel MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on create_whatsapp_template? +

Register the GoHighLevel MCP Server MCP server in PolicyLayer and add a rule for create_whatsapp_template: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches GoHighLevel MCP Server. Nothing to install.

What risk level is create_whatsapp_template? +

create_whatsapp_template is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit create_whatsapp_template? +

Yes. Add a rate_limit block to the create_whatsapp_template rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.

How do I block create_whatsapp_template completely? +

Set action: deny in the PolicyLayer policy for create_whatsapp_template. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.

What MCP server provides create_whatsapp_template? +

create_whatsapp_template is provided by the GoHighLevel MCP Server MCP server (busybee3333/go-high-level-mcp-2026-complete). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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