error_demo · MCP Learning Project MCP: Risk & Policy

WHAT IT DOES

What error_demo does on MCP Learning Project

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

WHY IT NEEDS A POLICY

Why error_demo needs a policy

An AI agent can call error_demo faster than any human can review — one bad instruction and it creates or modifies resources in MCP Learning Project by the hundred, each call as confident as the last.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

error_demo Rate-limited

error_demo 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": {
    "error_demo": {
      "limits": [
        {
          "counter": "error_demo_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 MCP Learning Project, so you can run agents against it safely.

FAQ

Questions about error_demo

What does the error_demo tool do? +

Demonstrate different types of error handling. It is categorised as a Write tool in the MCP Learning Project MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on error_demo? +

Register the MCP Learning Project MCP server in PolicyLayer and add a rule for error_demo: 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 MCP Learning Project. Nothing to install.

What risk level is error_demo? +

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

Can I rate-limit error_demo? +

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

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

error_demo is provided by the MCP Learning Project MCP server (vishutorvi/mcp-learning-project). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.