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execute_playbook

Execute a playbook step by step, passing results forward through context (requires NOW_ASSIST_ENABLED). Supports dry_run.

Part of the NowAIKit — ServiceNow AI Toolkit server.

execute_playbook can trigger actions in NowAIKit — ServiceNow AI Toolkit, with no limits today. PolicyLayer puts allow, deny, and rate-limit rules on every call. Live in minutes.

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AI agents invoke execute_playbook to trigger processes or run actions in NowAIKit — ServiceNow AI Toolkit. Execute operations can have side effects beyond the immediate call -- triggering builds, sending notifications, or starting workflows. Rate limits and argument validation are essential to prevent runaway execution.

execute_playbook can trigger processes with real-world consequences. An uncontrolled agent might start dozens of builds, send mass notifications, or kick off expensive compute jobs. PolicyLayer enforces rate limits and validates arguments to keep execution within safe bounds.

Execute tools trigger processes. Rate-limit and validate arguments to prevent unintended side effects.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "execute_playbook": {
      "limits": [
        {
          "counter": "execute_playbook_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

See the full NowAIKit — ServiceNow AI Toolkit policy for all 446 tools.

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These attack patterns abuse exactly the kind of access execute_playbook gives an agent. Each links to the full case and the policy that stops it:

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Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so execute_playbook only ever does what you allow.

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Other execute tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.

What does the execute_playbook tool do? +

Execute a playbook step by step, passing results forward through context (requires NOW_ASSIST_ENABLED). Supports dry_run.. It is categorised as a Execute tool in the NowAIKit — ServiceNow AI Toolkit MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on execute_playbook? +

Register the NowAIKit — ServiceNow AI Toolkit MCP server in PolicyLayer and add a rule for execute_playbook: 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 NowAIKit — ServiceNow AI Toolkit. Nothing to install.

What risk level is execute_playbook? +

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

Can I rate-limit execute_playbook? +

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

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

execute_playbook is provided by the NowAIKit — ServiceNow AI Toolkit MCP server (nowaikit). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every NowAIKit — ServiceNow AI Toolkit tool call.

Deterministic rules across all 446 NowAIKit — ServiceNow AI Toolkit tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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4,600+ MCP servers and 31,000+ tools scanned and risk-classified.

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