get_quiz_results
Read a quiz's attempts as its grades report shows them: per attempt the participant (an alias when the server pseudonymizes), state, dates, grade and the mark per question; with responses, also each answer given (redacted when pseudonymizing). A page at a time: limit attempts (50 by default) afte...
This record as markdown: /tools/falkenslab-moodle-mcp/get-quiz-results.md
What get_quiz_results does on Moodle
AI agents call get_quiz_results 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 |
|---|---|---|---|
limit | integer | — | How many attempts (50 by default, up to 500) |
offset | integer | — | How many attempts to skip first, in the report's order (0 by default) |
quizId | integer | Yes | The quiz's id (course module id), as get_course_structure gives it |
responses | boolean | — | Also the answer per question (default false) |
Parameters from the server's own tool schema.
Why get_quiz_results is rated Low
Even though get_quiz_results 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_quiz_results 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_quiz_results, this is the rule to start with:
get_quiz_results 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_quiz_results call is checked against it from then on.
Questions about get_quiz_results
Read a quiz's attempts as its grades report shows them: per attempt the participant (an alias when the server pseudonymizes), state, dates, grade and the mark per question; with responses, also each answer given (redacted when pseudonymizing). A page at a time: limit attempts (50 by default) after skipping offset; more says whether there are others. It is categorised as a Read tool in the Moodle MCP Server, which means it retrieves data without modifying state.
get_quiz_results accepts 4 parameters: limit, offset, quizId, responses. Required: quizId. 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_quiz_results: 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_quiz_results 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_quiz_results 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_quiz_results. 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_quiz_results 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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