bytebot_intervene_in_task · ByteBot MCP Server MCP

WHAT IT DOES

What bytebot_intervene_in_task does on ByteBot MCP Server

AI agents invoke bytebot_intervene_in_task 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_intervene_in_task needs a policy

This tool resumes or directs an in-progress autonomous task that has stalled, effectively triggering continued execution of desktop automation actions (mouse/keyboard operations, file I/O, etc.). It falls under Execute because it drives external operations whose effects depend on the intervention arguments provided. Severity is high due to the broad desktop control capabilities of the ByteBot platform.

From the tool's definition Provide intervention for a task in NEEDS_HELP state

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

bytebot_intervene_in_task Rate-limited

bytebot_intervene_in_task 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_intervene_in_task": {
      "limits": [
        {
          "counter": "bytebot_intervene_in_task_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_intervene_in_task

What does the bytebot_intervene_in_task tool do? +

Provide intervention for a task in NEEDS_HELP state. 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_intervene_in_task? +

Register the ByteBot MCP Server MCP server in PolicyLayer and add a rule for bytebot_intervene_in_task: 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_intervene_in_task? +

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

Can I rate-limit bytebot_intervene_in_task? +

Yes. Add a rate_limit block to the bytebot_intervene_in_task 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_intervene_in_task completely? +

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

bytebot_intervene_in_task 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.