End the current flow recording and save it. Returns a summary of all steps, API endpoints discovered, and the file path where the flow was saved.
AI agents use e2e_end_flow to create or update resources in Playwright Autopilot — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Playwright Autopilot environment.
This tool records and persists test flow data to a file—a reversible creation/modification operation. It does not execute code with side effects beyond recording, does not delete or destruct data, and does not involve financial transactions. While it interacts with browser state, the tool itself is saving/documenting that state, not triggering new browser actions.
From the tool's definition Tool name 'e2e_end_flow' and description 'save it' indicates the tool creates/persists data (a recorded flow file) to storage. The output confirms this: 'file path where the flow was saved' shows a reversible write operation.
Documented attack patterns abuse exactly the kind of access e2e_end_flow gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Playwright Autopilot, and nothing reaches the server without passing your rules. This is the rule we recommend for e2e_end_flow:
{
"version": "1",
"default": "deny",
"tools": {
"e2e_end_flow": {
"limits": [
{
"counter": "e2e_end_flow_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}e2e_end_flow stays usable, but capped — an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.
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End the current flow recording and save it. Returns a summary of all steps, API endpoints discovered, and the file path where the flow was saved. It is categorised as a Write tool in the Playwright Autopilot MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Playwright Autopilot MCP server in PolicyLayer and add a rule for e2e_end_flow: 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 Playwright Autopilot. Nothing to install.
e2e_end_flow is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the e2e_end_flow 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 e2e_end_flow. 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.
e2e_end_flow is provided by the Playwright Autopilot MCP server (kaizen-yutani/playwright-autopilot). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Playwright Autopilot, 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.
51 Playwright Autopilot tools catalogued and risk-classified — across an index of 43,000+ MCP servers.