list_deadlines
What the person has to do by a date, from Moodle's calendar (submit an assignment, attempt a quiz…), in one course or all of them: from a week ago (overdue ones) to some days ahead. Each with its activity id, date, whether it's overdue and the action Moodle offers. Teachers get few such events: f...
This record as markdown: /tools/falkenslab-moodle-mcp/list-deadlines.md
What list_deadlines does on Moodle
AI agents call list_deadlines to retrieve information from Moodle without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
| Parameter | Type | Required | Description |
|---|---|---|---|
days | integer | — | How many days ahead (default 30) |
courseId | integer | — | One course; every course when missing |
Parameters from the server's own tool schema.
Why list_deadlines is rated Low
Even though list_deadlines only reads data, uncontrolled read access leaks sensitive information and racks up API costs: an agent caught in a retry loop can make thousands of calls a minute without anyone noticing.
Attacks that exploit this kind of access
The rule that runs list_deadlines safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Moodle, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For list_deadlines, this is the rule to start with:
list_deadlines is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Moodle, apply this rule, and every list_deadlines call is checked against it from then on.
Questions about list_deadlines
What the person has to do by a date, from Moodle's calendar (submit an assignment, attempt a quiz…), in one course or all of them: from a week ago (overdue ones) to some days ahead. Each with its activity id, date, whether it's overdue and the action Moodle offers. Teachers get few such events: for what's waiting to be graded, use get_activities_overview. It is categorised as a Read tool in the Moodle MCP Server, which means it retrieves data without modifying state.
list_deadlines accepts 2 parameters: days, courseId. The full parameter table on this page comes from the server's own tool schema.
Register the Moodle MCP server in PolicyLayer and add a rule for list_deadlines: 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. Nothing to install.
list_deadlines 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 list_deadlines 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 list_deadlines. 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.
list_deadlines is provided by the Moodle MCP server (@falkenslab/moodle-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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