list_workshop_examples
List a workshop's example submissions as its page shows a teacher: title, and whether its reference assessment is made, with its grade. Moodle lists them in the setup phase, where the workshop uses examples.
This record as markdown: /tools/falkenslab-moodle-mcp/list-workshop-examples.md
What list_workshop_examples does on Moodle
AI agents call list_workshop_examples 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 |
|---|---|---|---|
workshopId | integer | Yes | The workshop's id (course module id) |
Parameters from the server's own tool schema.
Why list_workshop_examples is rated Low
Even though list_workshop_examples 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_workshop_examples 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_workshop_examples, this is the rule to start with:
list_workshop_examples 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_workshop_examples call is checked against it from then on.
Questions about list_workshop_examples
List a workshop's example submissions as its page shows a teacher: title, and whether its reference assessment is made, with its grade. Moodle lists them in the setup phase, where the workshop uses examples. It is categorised as a Read tool in the Moodle MCP Server, which means it retrieves data without modifying state.
list_workshop_examples accepts 1 parameter: workshopId. Required: workshopId. 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_workshop_examples: 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_workshop_examples 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_workshop_examples 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_workshop_examples. 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_workshop_examples 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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