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execute_workflow

Submit a ComfyUI workflow to run. Returns prompt_id. Use get_execution_status(prompt_id) to check result. Requires COMFYUI_HOST and ComfyUI running.

Part of the ComfyUI Builder server.

execute_workflow can trigger actions in ComfyUI Builder, 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_workflow to trigger processes or run actions in ComfyUI Builder. 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_workflow 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_workflow": {
      "limits": [
        {
          "counter": "execute_workflow_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

See the full ComfyUI Builder policy for all 60 tools.

Get this rule live on your own ComfyUI Builder server in minutes. PolicyLayer enforces it on every call, before it runs.

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These attack patterns abuse exactly the kind of access execute_workflow 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_workflow 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_workflow tool do? +

Submit a ComfyUI workflow to run. Returns prompt_id. Use get_execution_status(prompt_id) to check result. Requires COMFYUI_HOST and ComfyUI running.. It is categorised as a Execute tool in the ComfyUI Builder 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_workflow? +

Register the ComfyUI Builder MCP server in PolicyLayer and add a rule for execute_workflow: 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 ComfyUI Builder. Nothing to install.

What risk level is execute_workflow? +

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

Can I rate-limit execute_workflow? +

Yes. Add a rate_limit block to the execute_workflow 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_workflow completely? +

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

execute_workflow is provided by the ComfyUI Builder MCP server (mcp-comfy-ui-builder). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every ComfyUI Builder tool call.

Deterministic rules across all 60 ComfyUI Builder tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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