Overall health check for a course: progress, grades, unsubmitted/overdue counts
AI agents call get_course_health to retrieve information from Moodle-MCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The tool retrieves course metrics and status information for display/analysis purposes. It neither modifies data (Write), executes code (Execute), deletes data (Destructive), nor involves financial transactions (Financial). The scope is limited to a single course and the data is typically accessible to instructors/administrators anyway.
From the tool's definition Tool description states it performs a 'health check for a course' retrieving 'progress, grades, unsubmitted/overdue counts'—these are read operations that query and retrieve existing data without modification or side effects.
Documented attack patterns abuse exactly the kind of access get_course_health gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Moodle-MCP, and nothing reaches the server without passing your rules. This is the rule we recommend for get_course_health:
{
"version": "1",
"default": "deny",
"tools": {
"get_course_health": {}
}
} get_course_health is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Overall health check for a course: progress, grades, unsubmitted/overdue counts. It is categorised as a Read tool in the Moodle-MCP MCP Server, which means it retrieves data without modifying state.
Register the Moodle- MCP server in PolicyLayer and add a rule for get_course_health: 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 Moodle-MCP. Nothing to install.
get_course_health is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the get_course_health 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 get_course_health. 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.
get_course_health is provided by the Moodle- MCP server (loyaniu/moodle-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Moodle-MCP, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
24 Moodle-MCP tools catalogued and risk-classified — across an index of 43,000+ MCP servers.