approve_order · Eduframe MCP: Risk & Policy

WHAT IT DOES

What approve_order does on Eduframe

AI agents use approve_order 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 approve_order needs a policy

Approving an order modifies data state and could have business consequences (e.g., triggering fulfillment workflows or financial commitments), but the operation itself is reversible and does not destroy data or irreversibly commit financial transactions. It falls under Write rather than Execute because it performs a well-defined business action rather than arbitrary code execution.

From the tool's definition Tool name 'approve_order' with description 'Approve an order' indicates a state-change operation that modifies an order's status from pending to approved.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

approve_order Rate-limited

approve_order 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": {
    "approve_order": {
      "limits": [
        {
          "counter": "approve_order_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 approve_order

What does the approve_order tool do? +

Approve an order. 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 approve_order? +

Register the Eduframe MCP server in PolicyLayer and add a rule for approve_order: 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 approve_order? +

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

Can I rate-limit approve_order? +

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

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

approve_order 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.