Get grade overview for all courses, or detailed grades for a specific course if courseid is provided
AI agents call get_grades 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.
This tool retrieves existing grade data from Moodle LMS with no side effects. It queries either all courses or a specific course by courseid, but does not create, modify, or delete any data. Educational grade information may be considered sensitive, but the read-only access pattern and limited blast radius (viewing grades, not changing them or triggering external actions) warrants a 'low' severity classification.
From the tool's definition Tool description states 'Get grade overview' and 'detailed grades' — retrieving and querying educational data without modification. The verb 'Get' and the read-only nature of accessing grade records align with the Read category.
Documented attack patterns abuse exactly the kind of access get_grades 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_grades:
{
"version": "1",
"default": "deny",
"tools": {
"get_grades": {}
}
} get_grades is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Get grade overview for all courses, or detailed grades for a specific course if courseid is provided. 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_grades: 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_grades 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_grades 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_grades. 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_grades 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.