sdk_ai_execute · UI Bridge MCP: Risk & Policy

WHAT IT DOES

What sdk_ai_execute does on UI Bridge MCP

AI agents invoke sdk_ai_execute to trigger actions in UI Bridge MCP. 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 sdk_ai_execute needs a policy

The tool name strongly suggests execution of actions/commands on UI elements or external applications. Given the server's stated capability to interact with and control UIs, 'sdk_ai_execute' most likely triggers automated UI interactions, browser actions, or external operations whose effects depend on arguments.

From the tool's definition Tool name 'sdk_ai_execute' combined with server description stating it 'interact[s] with UI elements' and supports 'control mode' and 'external applications'. The 'execute' suffix indicates code/action execution. No description provided, limiting certainty.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

sdk_ai_execute Rate-limited

sdk_ai_execute 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": {
    "sdk_ai_execute": {
      "limits": [
        {
          "counter": "sdk_ai_execute_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 UI Bridge MCP, so you can run agents against it safely.

FAQ

Questions about sdk_ai_execute

What does the sdk_ai_execute tool do? +

sdk_ai_execute. It is categorised as a Execute tool in the UI Bridge MCP MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on sdk_ai_execute? +

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

What risk level is sdk_ai_execute? +

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

Can I rate-limit sdk_ai_execute? +

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

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

sdk_ai_execute is provided by the UI Bridge MCP server (qontinui/ui-bridge-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.