Wait for a specific condition before proceeding — an element to appear, the network to become idle, or the page to finish loading. Use when the user wants to wait for a dynamic element to load, wait for AJAX/fetch requests to complete, or wait for a modal/spinner to appear or disappear. Parameter...
AI agents invoke pilot_wait 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.
While pilot_wait does not directly modify data (which would make it Write) or delete anything (Destructive), it is not a pure Read operation either. It actively triggers browser condition checks, halts execution pending external events, and manages control flow — characteristics of Execute tools. The 'wait' semantics involve triggering and monitoring state transitions in the browser environment.
From the tool's definition Tool description states it "Wait[s] for a specific condition before proceeding" and explicitly handles "the network to become idle, or the page to finish loading" — these are control-flow operations that trigger external browser state checks and potentially…
Documented attack patterns abuse exactly the kind of access pilot_wait 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_wait:
{
"version": "1",
"default": "deny",
"tools": {
"pilot_wait": {
"limits": [
{
"counter": "pilot_wait_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
} pilot_wait 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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Wait for a specific condition before proceeding — an element to appear, the network to become idle, or the page to finish loading. Use when the user wants to wait for a dynamic element to load, wait for AJAX/fetch requests to complete, or wait for a modal/spinner to appear or disappear. Parameters: - ref: Element reference from snapshot (e.g.,. 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_wait: 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_wait 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_wait 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_wait. 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_wait 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.