Waits for an element to appear in the DOM.
AI agents invoke wait_for_selector to trigger actions in Chrome MCP Docker. 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 executes a wait operation in a Chrome browser, making it Execute rather than Read. While it doesn't delete data (not Destructive) or move money (not Financial), it actively manipulates browser execution flow by polling the DOM state. If an attacker instructs an AI agent to wait for selectors on a phishing page or during unauthorized session hijacking, they could facilitate credential theft or fraud.
From the tool's definition Tool controls Chrome browser through DevTools Protocol and 'waits for an element to appear in the DOM'—this is a blocking/polling operation that triggers external browser-side effects and interacts with live page state.
Documented attack patterns abuse exactly the kind of access wait_for_selector gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Chrome MCP Docker, and nothing reaches the server without passing your rules. This is the rule we recommend for wait_for_selector:
{
"version": "1",
"default": "deny",
"tools": {
"wait_for_selector": {
"limits": [
{
"counter": "wait_for_selector_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
} wait_for_selector 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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Waits for an element to appear in the DOM. It is categorised as a Execute tool in the Chrome MCP Docker MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Chrome MCP Docker MCP server in PolicyLayer and add a rule for wait_for_selector: 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 Chrome MCP Docker. Nothing to install.
wait_for_selector 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 wait_for_selector 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 wait_for_selector. 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.
wait_for_selector is provided by the Chrome MCP Docker MCP server (null-runner/chrome-mcp-docker). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Chrome MCP Docker, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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10 Chrome MCP Docker tools catalogued and risk-classified — across an index of 43,000+ MCP servers.