create_planned_course · Eduframe MCP: Risk & Policy

WHAT IT DOES

What create_planned_course does on Eduframe

AI agents use create_planned_course to create or update resources in Eduframe — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Eduframe environment.

WHY IT NEEDS A POLICY

Why create_planned_course needs a policy

This tool creates a new planned course record, which is a reversible Write operation. It modifies the backend system by adding new data, but the action can be undone (courses can be deleted or updated).

From the tool's definition Tool name 'create_planned_course' and server description indicating 'creating...leads' through API. The 'create' action indicates data creation/modification without permanent deletion.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

create_planned_course Rate-limited

create_planned_course stays usable, but capped — an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "create_planned_course": {
      "limits": [
        {
          "counter": "create_planned_course_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL →

Instant setup, no code required.

PolicyLayer is an MCP gateway: every tool call is checked against your rule before it reaches Eduframe, so you can run agents against it safely.

FAQ

Questions about create_planned_course

What does the create_planned_course tool do? +

Create a planned course. It is categorised as a Write tool in the Eduframe MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on create_planned_course? +

Register the Eduframe MCP server in PolicyLayer and add a rule for create_planned_course: 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 Eduframe. Nothing to install.

What risk level is create_planned_course? +

create_planned_course is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit create_planned_course? +

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

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

create_planned_course is provided by the Eduframe MCP server (martijnpieters/eduframe-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.