Replay a previously recorded workflow.
AI agents invoke replay_workflow_tool to trigger actions in Openowl. 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.
Replaying a recorded workflow executes a sequence of desktop actions (clicks, typing, window management, etc.) that were previously captured. This triggers external operations on the desktop whose effects depend on what was recorded — potentially including writing files, submitting forms, or other side effects.
From the tool's definition Replay a previously recorded workflow
Documented attack patterns abuse exactly the kind of access replay_workflow_tool gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Openowl, and nothing reaches the server without passing your rules. This is the rule we recommend for replay_workflow_tool:
{
"version": "1",
"default": "deny",
"tools": {
"replay_workflow_tool": {
"limits": [
{
"counter": "replay_workflow_tool_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
}replay_workflow_tool 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.
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Replay a previously recorded workflow. It is categorised as a Execute tool in the Openowl MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Openowl MCP server in PolicyLayer and add a rule for replay_workflow_tool: 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 Openowl. Nothing to install.
replay_workflow_tool is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the replay_workflow_tool 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.
Set action: deny in the PolicyLayer policy for replay_workflow_tool. 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.
replay_workflow_tool is provided by the Openowl MCP server (mihir-kanzariya/openowl). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Openowl, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
40 Openowl tools catalogued and risk-classified — across an index of 43,000+ MCP servers.