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crear_curso

A other tool on the Moodle Ai Assistant MCP server.

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/crear-curso.md

What crear_curso does on Moodle Ai Assistant

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

Why crear_curso is rated Low

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

Questions about crear_curso

What does the crear_curso tool do? +

crear_curso is a other tool on the Moodle Ai Assistant MCP server. 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 crear_curso? +

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

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

Can I rate-limit crear_curso? +

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

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

crear_curso 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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