List active Fly.io machines used for Proctor exams. Returns information about currently running or recently active Fly machines that are being used for exam execution. Returns: - machines: Array of machine objects with id, state, region, and other metadata Use cases: - Monitor active exam executi...
AI agents call get_machines to retrieve information from Playwright Stealth without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
get_machines is a pure query/list operation that retrieves metadata about existing infrastructure. It has no side effects and does not create, modify, delete, or execute operations. The mentioned use cases of 'finding machines to clean up' refer to decisions an operator would make separately using other tools (destroy_machine, cancel_exam), not actions performed by this tool itself.
From the tool's definition Tool description states it 'List active Fly.io machines' and 'Returns information about currently running or recently active Fly machines'.
Documented attack patterns abuse exactly the kind of access get_machines gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Playwright Stealth, and nothing reaches the server without passing your rules. This is the rule we recommend for get_machines:
{
"version": "1",
"default": "deny",
"tools": {
"get_machines": {}
}
}get_machines is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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List active Fly.io machines used for Proctor exams. Returns information about currently running or recently active Fly machines that are being used for exam execution. Returns: - machines: Array of machine objects with id, state, region, and other metadata Use cases: - Monitor active exam execution infrastructure - Find machines to clean up or cancel - Debug issues with running exams - Check resource utilization Note: - Machines may be in various states (running, stopped, etc.) - Use destroy_machine to remove machines that are no longer needed - Use cancel_exam to stop a running exam on a specific machine. It is categorised as a Read tool in the Playwright Stealth MCP Server, which means it retrieves data without modifying state.
Register the Playwright Stealth MCP server in PolicyLayer and add a rule for get_machines: 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 Stealth. Nothing to install.
get_machines is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the get_machines 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 get_machines. 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.
get_machines is provided by the Playwright Stealth MCP server (pulsemcp/mcp-servers). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Playwright Stealth, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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68 Playwright Stealth tools catalogued and risk-classified — across an index of 43,000+ MCP servers.