configure_output_window · PyNet Bridge MCP: Risk & Policy

WHAT IT DOES

What configure_output_window does on PyNet Bridge

AI agents invoke configure_output_window to trigger actions in PyNet Bridge. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.

WHY IT NEEDS A POLICY

Why configure_output_window needs a policy

This tool triggers a UI state change (show/hide a window) in the PyNet platform. It's an external operation that modifies application state, but has minimal blast radius — it doesn't read sensitive data, write persistent data, or cause irreversible changes. 'Execute' fits best as it triggers an external platform operation whose effect depends on current state.

From the tool's definition Toggles the visibility of the PyNet log/output window

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

configure_output_window Rate-limited

configure_output_window stays usable, but rate-capped — a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "configure_output_window": {
      "limits": [
        {
          "counter": "configure_output_window_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

RATE-LIMIT THIS TOOL →

Instant setup, no code required.

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

FAQ

Questions about configure_output_window

What does the configure_output_window tool do? +

Toggles the visibility of the PyNet log/output window. It is categorised as a Execute tool in the PyNet Bridge MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on configure_output_window? +

Register the PyNet Bridge MCP server in PolicyLayer and add a rule for configure_output_window: 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 PyNet Bridge. Nothing to install.

What risk level is configure_output_window? +

configure_output_window is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit configure_output_window? +

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

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

configure_output_window is provided by the PyNet Bridge MCP server (rafael-nunezdearenas/pynetbridge). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.