get_feedback_items
Read a feedback activity's items as its teacher builds them, in order: type (multichoice, multichoicerated, textfield, textarea, numeric, info, label, captcha, pagebreak), position, question, whether required, a choice's options (with weights where rated) and display, a numeric range, a label's c...
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What get_feedback_items does on Moodle
AI agents call get_feedback_items 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 |
|---|---|---|---|
feedbackId | integer | Yes | The feedback's id (course module id), as get_course_structure gives it |
Parameters from the server's own tool schema.
Why get_feedback_items is rated Low
Even though get_feedback_items 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 get_feedback_items 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 get_feedback_items, this is the rule to start with:
get_feedback_items 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 get_feedback_items call is checked against it from then on.
Questions about get_feedback_items
Read a feedback activity's items as its teacher builds them, in order: type (multichoice, multichoicerated, textfield, textarea, numeric, info, label, captcha, pagebreak), position, question, whether required, a choice's options (with weights where rated) and display, a numeric range, a label's contents and the item it depends on. It is categorised as a Read tool in the Moodle MCP Server, which means it retrieves data without modifying state.
get_feedback_items accepts 1 parameter: feedbackId. Required: feedbackId. 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 get_feedback_items: 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.
get_feedback_items 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 get_feedback_items 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 get_feedback_items. 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.
get_feedback_items 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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