answer_quiz_questions
Save answers in an attempt in progress, as the attempt's pages do; it doesn't finish the attempt. Each answer names a question's slot and its fields by name with the value to give: an option's value for choice and select fields, "1" or "0" for checkboxes, text for text fields. Returns the questio...
This record as markdown: /tools/falkenslab-moodle-mcp/answer-quiz-questions.md
What answer_quiz_questions does on Moodle
AI agents use answer_quiz_questions to create or update resources in Moodle, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Moodle environment.
| Parameter | Type | Required | Description |
|---|---|---|---|
answers | array | Yes | |
attemptId | integer | Yes | The attempt's id, as start_quiz_attempt or get_quiz_info gives it |
Parameters from the server's own tool schema.
Why answer_quiz_questions is rated Medium
An AI agent can call answer_quiz_questions faster than any human can review: one bad instruction and it creates or modifies resources in Moodle by the hundred, each call as confident as the last.
Attacks that exploit this kind of access
The rule that runs answer_quiz_questions 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 answer_quiz_questions, this is the rule to start with:
answer_quiz_questions stays usable, but capped: an agent stuck in a loop can't make hundreds of changes a minute. 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 answer_quiz_questions call is checked against it from then on.
Questions about answer_quiz_questions
Save answers in an attempt in progress, as the attempt's pages do; it doesn't finish the attempt. Each answer names a question's slot and its fields by name with the value to give: an option's value for choice and select fields, "1" or "0" for checkboxes, text for text fields. Returns the questions with their saved answers. With the realistic trail it pauses to read each page first. It is categorised as a Write tool in the Moodle MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
answer_quiz_questions accepts 2 parameters: answers, attemptId. Required: answers, attemptId. 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 answer_quiz_questions: 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.
answer_quiz_questions is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the answer_quiz_questions 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 answer_quiz_questions. 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.
answer_quiz_questions 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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