AI agents use enroll_contact_in_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.
Enrolling a contact in a course creates a new enrollment record and modifies the contact's course access/status. This is a reversible write operation (enrollment can be revoked), not destructive or financial in itself, though it may have downstream effects on course access.
From the tool's definition Enroll a contact in a course
Documented attack patterns abuse exactly the kind of access enroll_contact_in_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 enroll_contact_in_course:
{
"version": "1",
"default": "deny",
"tools": {
"enroll_contact_in_course": {
"limits": [
{
"counter": "enroll_contact_in_course_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}enroll_contact_in_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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Enroll a contact in a 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 enroll_contact_in_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.
enroll_contact_in_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 enroll_contact_in_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 enroll_contact_in_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.
enroll_contact_in_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.
Free to start. No card required.
566 GoHighLevel MCP Server tools catalogued and risk-classified — across an index of 42,500+ MCP servers.