Resume automated control after a pilot_handoff session. Use when the user has finished manual interaction in the headed browser (e.g., solved a CAPTCHA, completed auth) and wants to return to automated control. Parameters: (none) Returns: A fresh accessibility snapshot of the current page state, ...
AI agents invoke pilot_resume to trigger actions in Pilot. 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.
This tool re-engages automated browser control via Playwright, transitioning from manual to automated operation. It triggers the resumption of an automation session that can then perform arbitrary browser actions. While the tool itself doesn't directly execute a specific action, it re-enables automated execution of subsequent browser operations, making Execute the most appropriate category.
From the tool's definition Resume automated control after a pilot_handoff session... return to automated control... A fresh accessibility snapshot of the current page state, ready for continued interaction.
Documented attack patterns abuse exactly the kind of access pilot_resume gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Pilot, and nothing reaches the server without passing your rules. This is the rule we recommend for pilot_resume:
{
"version": "1",
"default": "deny",
"tools": {
"pilot_resume": {
"limits": [
{
"counter": "pilot_resume_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
} pilot_resume 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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Resume automated control after a pilot_handoff session. Use when the user has finished manual interaction in the headed browser (e.g., solved a CAPTCHA, completed auth) and wants to return to automated control. Parameters: (none) Returns: A fresh accessibility snapshot of the current page state, ready for continued interaction. Errors: -. It is categorised as a Execute tool in the Pilot MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Pilot MCP server in PolicyLayer and add a rule for pilot_resume: 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 Pilot. Nothing to install.
pilot_resume 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 pilot_resume 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 pilot_resume. 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.
pilot_resume is provided by the Pilot MCP server (tacosyhorchata/pilot). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 61 Pilot tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
Free to start. No card required.
61 Pilot tools catalogued and risk-classified — across an index of 42,500+ MCP servers.