AI agents invoke click_at to trigger actions in Chrome DevTools. 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.
Clicking at coordinates in a browser is an execution action that can trigger arbitrary UI interactions (form submissions, navigation, button presses, etc.) depending on what is at those coordinates. The effects are context-dependent and could range from benign to significant, making it an Execute category action with medium severity.
From the tool's definition 'Clicks at the provided coordinates' — triggers a click action in a browser at specified coordinates
Documented attack patterns abuse exactly the kind of access click_at gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Chrome DevTools, and nothing reaches the server without passing your rules. This is the rule we recommend for click_at:
{
"version": "1",
"default": "deny",
"tools": {
"click_at": {
"limits": [
{
"counter": "click_at_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
} click_at 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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Clicks at the provided coordinates. It is categorised as a Execute tool in the Chrome DevTools MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Chrome DevTools MCP server in PolicyLayer and add a rule for click_at: 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 DevTools. Nothing to install.
click_at 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 click_at 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 click_at. 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.
click_at is provided by the Chrome DevTools MCP server (ChromeDevTools/chrome-devtools-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Chrome DevTools, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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