estado_estudiante

Estado de una entrega concreta: entregada, en borrador, calificada, etc.

SERVERMoodle Ai Assistant SOURCErafenixcore/moodle-ai-assistant

Low RISK CLASS

Category Other

Parameters 00 required

Recommended Rate-limitedsee the rule below

Registry record Grade D, identity unverified Pull the record →

This record as markdown: /tools/moodle-ai-assistant/estado-estudiante.md

WHAT IT DOES

What estado_estudiante does on Moodle Ai Assistant

AI agents call estado_estudiante as a supporting operation in Moodle Ai Assistant workflows.

RISK

Why estado_estudiante is rated Low

Without any rule in front of it, every call an agent makes to estado_estudiante happens silently: no trail, no cap, no way to know it misbehaved until something breaks downstream.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs estado_estudiante 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 estado_estudiante, this is the rule to start with:

estado_estudiante Rate-limited

estado_estudiante gets a rate cap, and everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "estado_estudiante": {
      "limits": [
        {
          "counter": "estado_estudiante_rate",
          "window": "minute",
          "max": 60,
          "scope": "grant"
        }
      ]
    }
  }
}

SET A RULE FOR THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Moodle Ai Assistant, apply this rule, and every estado_estudiante call is checked against it from then on.

FAQ

Questions about estado_estudiante

What does the estado_estudiante tool do? +

Estado de una entrega concreta: entregada, en borrador, calificada, etc. It is categorised as a Other tool in the Moodle Ai Assistant MCP Server, which means it performs auxiliary operations.

How do I enforce a policy on estado_estudiante? +

Register the Moodle Ai Assistant MCP server in PolicyLayer and add a rule for estado_estudiante: 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.

What risk level is estado_estudiante? +

estado_estudiante is a Other tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit estado_estudiante? +

Yes. Add a rate_limit block to the estado_estudiante 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.

How do I block estado_estudiante completely? +

Set action: deny in the PolicyLayer policy for estado_estudiante. 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.

What MCP server provides estado_estudiante? +

estado_estudiante 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.

KEEP EXPLORING

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Guides

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