AI agents use update_course_post 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 modifies course content in the GoHighLevel platform. As a Write operation, it creates or modifies data reversibly. The severity is medium because misuse could corrupt educational content or mislead students, but the impact is limited to course materials and reversible through subsequent edits.
From the tool's definition Tool name 'update_course_post' and description 'Update a course post/lesson' indicate modification of existing data. The action is reversible (content can be edited again or reverted) and does not permanently delete or destroy records.
Documented attack patterns abuse exactly the kind of access update_course_post 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 update_course_post:
{
"version": "1",
"default": "deny",
"tools": {
"update_course_post": {
"limits": [
{
"counter": "update_course_post_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}update_course_post 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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Update a course post/lesson. 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 update_course_post: 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.
update_course_post 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 update_course_post 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 update_course_post. 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.
update_course_post 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.