AI agents call assignments to retrieve information from Moodle Connector without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves assignment information and deadlines from Moodle, which is a read-only operation with no side effects. It does not create, modify, delete, or execute any operations—it simply fetches and presents existing data. The low severity reflects minimal risk even if misused by an AI agent, as the worst outcome would be unwanted visibility of assignment information accessible to the authenticated user.
From the tool's definition Tool name 'assignments' with description 'Get all assignments with deadlines' indicates a retrieval operation that queries and returns assignment data without modifying or executing operations.
Documented attack patterns abuse exactly the kind of access assignments gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Moodle Connector, and nothing reaches the server without passing your rules. This is the rule we recommend for assignments:
{
"version": "1",
"default": "deny",
"tools": {
"assignments": {}
}
}assignments is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Get all assignments with deadlines. It is categorised as a Read tool in the Moodle Connector MCP Server, which means it retrieves data without modifying state.
Register the Moodle Connector MCP server in PolicyLayer and add a rule for assignments: 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 Connector. Nothing to install.
assignments 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 assignments 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 assignments. 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.
assignments is provided by the Moodle Connector MCP server (jabir-srj/moodle-connector). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Moodle Connector, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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8 Moodle Connector tools catalogued and risk-classified — across an index of 43,000+ MCP servers.