Study load analysis showing assignment distribution by week, identifying heavy weeks
AI agents call get_study_load 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 and analyzes existing data (assignment distribution) to present a study load overview. It performs no side effects: no data creation, modification, deletion, or code execution. It fits the Read category pattern of querying/analyzing data without consequences.
From the tool's definition Tool description states 'Study load analysis showing assignment distribution by week' — a retrieval and analysis operation with no modification, deletion, or execution of external operations. The verb is analytical/reporting in nature.
Documented attack patterns abuse exactly the kind of access get_study_load 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_study_load:
{
"version": "1",
"default": "deny",
"tools": {
"get_study_load": {}
}
} get_study_load is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
Free to start. No card required.
Study load analysis showing assignment distribution by week, identifying heavy weeks. 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_study_load: 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_study_load 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_study_load 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_study_load. 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_study_load 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.