Extract and structure requirements, deliverables, constraints, and evaluation criteria from an assignment description
AI agents call extract_assignment_requirements 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 queries and parses assignment metadata to return structured information. It has no side effects, does not modify data, execute code, delete records, or move money. The worst-case misuse is the AI agent receiving accurate assignment details earlier than intended, which is a minimal information disclosure risk suitable for 'low' severity.
From the tool's definition Tool description states it 'Extract and structure requirements' from assignment data—a parsing and retrieval operation with no modification or execution. The verb 'extract' and the focus on structuring existing information confirms read-only behavior.
Documented attack patterns abuse exactly the kind of access extract_assignment_requirements 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 extract_assignment_requirements:
{
"version": "1",
"default": "deny",
"tools": {
"extract_assignment_requirements": {}
}
} extract_assignment_requirements is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Extract and structure requirements, deliverables, constraints, and evaluation criteria from an assignment description. 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 extract_assignment_requirements: 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.
extract_assignment_requirements 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 extract_assignment_requirements 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 extract_assignment_requirements. 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.
extract_assignment_requirements 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.
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24 Moodle-MCP tools catalogued and risk-classified — across an index of 43,000+ MCP servers.