bytebot_wait · ByteBot MCP Server MCP: Risk & Policy

WHAT IT DOES

What bytebot_wait does on ByteBot MCP Server

AI agents invoke bytebot_wait to trigger actions in ByteBot MCP Server. 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 bytebot_wait needs a policy

This tool executes a control flow operation (sleep/delay) that affects the timing of subsequent autonomous actions. While the tool itself has no direct side effects on data or systems, it falls under Execute rather than Read because it actively triggers an operation (a wait command) that modifies execution behavior.

From the tool's definition Tool performs a timed delay operation ('wait for a specified duration'). Within the ByteBot context of autonomous task execution and desktop control, this is an action that triggers external behavior (pausing execution flow), even though the operation itself…

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

bytebot_wait Rate-limited

bytebot_wait 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": {
    "bytebot_wait": {
      "limits": [
        {
          "counter": "bytebot_wait_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 ByteBot MCP Server, so you can run agents against it safely.

FAQ

Questions about bytebot_wait

What does the bytebot_wait tool do? +

Wait for a specified duration. Use this to add delays between actions or wait for UI updates. It is categorised as a Execute tool in the ByteBot MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on bytebot_wait? +

Register the ByteBot MCP Server MCP server in PolicyLayer and add a rule for bytebot_wait: 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 ByteBot MCP Server. Nothing to install.

What risk level is bytebot_wait? +

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

Can I rate-limit bytebot_wait? +

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

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

bytebot_wait is provided by the ByteBot MCP Server MCP server (sensuslab/spark-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.