AI agents call obtener_intentos_quiz to retrieve information from Moodle without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The tool fetches quiz attempt records for a user. It only reads data (finished attempts or with per-question details), with no creation, modification, or deletion of any data. Misuse risk is low as it only exposes quiz performance data.
From the tool's definition 'Quiz attempts for a user on a given quiz' and 'only finished attempts' — retrieves existing attempt data, no side effects
Attacks that exploit this kind of access
Quiz attempts for a user on a given quiz. Default: only finished attempts. Set include_review=true to also fetch per-question details (heavier). It is categorised as a Read tool in the Moodle MCP Server, which means it retrieves data without modifying state.
Register the Moodle MCP server in PolicyLayer and add a rule for obtener_intentos_quiz: 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.
obtener_intentos_quiz 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 obtener_intentos_quiz 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 obtener_intentos_quiz. 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.
obtener_intentos_quiz is provided by the Moodle MCP server (marcosnahuel/moodle-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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