list_potential_users
Find users the person may enrol in a course by manual enrolment, as the "Enrol users" dialog does: matching search in their name or the identity fields the site shows (up to 100 when empty). People as aliases when the server pseudonymizes, never their emails. Enrol them with enrol_users.
This record as markdown: /tools/falkenslab-moodle-mcp/list-potential-users.md
What list_potential_users does on Moodle
AI agents call list_potential_users 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 |
|---|---|---|---|
search | string | — | Part of a name, an email, an ID number… |
courseId | integer | Yes |
Parameters from the server's own tool schema.
Why list_potential_users is rated Low
Even though list_potential_users 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_potential_users 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_potential_users, this is the rule to start with:
list_potential_users 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_potential_users call is checked against it from then on.
Questions about list_potential_users
Find users the person may enrol in a course by manual enrolment, as the "Enrol users" dialog does: matching search in their name or the identity fields the site shows (up to 100 when empty). People as aliases when the server pseudonymizes, never their emails. Enrol them with enrol_users. It is categorised as a Read tool in the Moodle MCP Server, which means it retrieves data without modifying state.
list_potential_users accepts 2 parameters: search, courseId. Required: 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_potential_users: 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_potential_users 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_potential_users 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_potential_users. 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_potential_users 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.
More on Moodle, and thousands of servers like it.
This server
Across the catalogue