responder_discusion

⚠️ ESCRITURA. Responde al primer post de una discusion.

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/responder-discusion.md

WHAT IT DOES

What responder_discusion does on Moodle Ai Assistant

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

RISK

Why responder_discusion is rated Low

Without any rule in front of it, every call an agent makes to responder_discusion 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 responder_discusion 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 responder_discusion, this is the rule to start with:

responder_discusion Rate-limited

responder_discusion 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": {
    "responder_discusion": {
      "limits": [
        {
          "counter": "responder_discusion_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 responder_discusion call is checked against it from then on.

FAQ

Questions about responder_discusion

What does the responder_discusion tool do? +

⚠️ ESCRITURA. Responde al primer post de una discusion. 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 responder_discusion? +

Register the Moodle Ai Assistant MCP server in PolicyLayer and add a rule for responder_discusion: 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 responder_discusion? +

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

Can I rate-limit responder_discusion? +

Yes. Add a rate_limit block to the responder_discusion 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 responder_discusion completely? +

Set action: deny in the PolicyLayer policy for responder_discusion. 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 responder_discusion? +

responder_discusion 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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