calificar_entrega
⚠️ ESCRITURA IRREVERSIBLE. Guarda nota y feedback de una entrega.
This record as markdown: /tools/moodle-ai-assistant/calificar-entrega.md
What calificar_entrega does on Moodle Ai Assistant
AI agents call calificar_entrega to permanently remove resources in Moodle Ai Assistant, typically in cleanup and lifecycle workflows. It does its job in a single call, and there is no undo.
Why calificar_entrega is rated Critical
An AI agent that decides to call calificar_entrega doesn't hesitate, doesn't double-check, and doesn't stop at one. Whatever it removes from Moodle Ai Assistant is gone. There is no undo for destructive operations.
Attacks that exploit this kind of access
The rule that runs calificar_entrega safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Moodle Ai Assistant, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For calificar_entrega, this is the rule to start with:
calificar_entrega is removed from the agent's tool list entirely, so the agent never calls it. The rest of the server keeps working.
The button opens the PolicyLayer dashboard: create your workspace, connect Moodle Ai Assistant, apply this rule, and every calificar_entrega call is checked against it from then on.
Questions about calificar_entrega
⚠️ ESCRITURA IRREVERSIBLE. Guarda nota y feedback de una entrega. It is categorised as a Destructive tool in the Moodle Ai Assistant MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.
Register the Moodle Ai Assistant MCP server in PolicyLayer and add a rule for calificar_entrega: 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 Ai Assistant. Nothing to install.
calificar_entrega is a Destructive tool with critical risk. Critical-risk tools should be blocked by default and only enabled with explicit human approval.
Yes. Add a rate_limit block to the calificar_entrega 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 calificar_entrega. 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.
calificar_entrega is provided by the Moodle Ai Assistant MCP server (rafenixcore/moodle-ai-assistant). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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