Low Risk

toggle_window

toggle_window

How to control toggle_window ↓

AI agents call toggle_window as a supporting operation in Proxima workflows.

Low Risk

The tool name suggests a UI window toggle action (show/hide), which is a benign UI operation. However, with no description available, classification confidence is low. Given the server context (AI gateway for development), this likely controls visibility of a UI element, placing it in 'Other' as it doesn't clearly fit Read/Write/Execute/Destructive/Financial categories.

From the tool's definition Tool name is 'toggle_window' and the description is empty or uninformative.

Documented attack patterns abuse exactly the kind of access toggle_window gives an agent:

PolicyLayer is an MCP gateway — it sits between your AI agents and Proxima, and nothing reaches the server without passing your rules. This is the rule we recommend for toggle_window:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "toggle_window": {
      "limits": [
        {
          "counter": "toggle_window_rate",
          "window": "minute",
          "max": 60,
          "scope": "grant"
        }
      ]
    }
  }
}

toggle_window gets a rate cap, and everything else on the server is denied unless you say otherwise.

  1. Create a free account and register Proxima — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
SET A RULE FOR THIS TOOL →

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Go deeper

What does the toggle_window tool do? +

toggle_window. It is categorised as a Other tool in the Proxima MCP Server, which means it performs auxiliary operations.

How do I enforce a policy on toggle_window? +

Register the Proxima MCP server in PolicyLayer and add a rule for toggle_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 Proxima. Nothing to install.

What risk level is toggle_window? +

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

Can I rate-limit toggle_window? +

Yes. Add a rate_limit block to the toggle_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 toggle_window completely? +

Set action: deny in the PolicyLayer policy for toggle_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 toggle_window? +

toggle_window is provided by the Proxima MCP server (zen4-bit/proxima). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Proxima tool call.

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50 Proxima tools catalogued and risk-classified — across an index of 42,500+ MCP servers.

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