AI agents use create_course 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.
This tool creates a new course resource in the GoHighLevel system. Creating data is a Write operation — reversible and non-destructive. Severity is medium because misconfiguration could clutter the CRM with unwanted courses or cause operational disruption, but the action can be undone by deleting the created course.
From the tool's definition Tool name is 'create_course' and description states 'Create a new course' — this creates new data within the CRM system.
Documented attack patterns abuse exactly the kind of access create_course gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and GoHighLevel MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for create_course:
{
"version": "1",
"default": "deny",
"tools": {
"create_course": {
"limits": [
{
"counter": "create_course_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}create_course 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.
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Create a new course. 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.
Register the GoHighLevel MCP Server MCP server in PolicyLayer and add a rule for create_course: 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.
create_course is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the create_course 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.
Set action: deny in the PolicyLayer policy for create_course. 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.
create_course 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.
Deterministic rules across all 566 GoHighLevel MCP Server tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
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566 GoHighLevel MCP Server tools catalogued and risk-classified — across an index of 42,500+ MCP servers.