Click a UI element using accessibility actions (AXPress) via JSONPath selector.
AI agents invoke click_element_by_selector to trigger actions in Playwright MCP for macOS. 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 performs click/press actions on UI elements in macOS applications. Clicking UI elements can trigger arbitrary application behaviors—submitting forms, deleting files, confirming dialogs, launching processes—making it an Execute-category tool with high severity since an AI agent could interact with any UI element across any running application, potentially causing significant unintended consequences.
From the tool's definition Click a UI element using accessibility actions (AXPress) via JSONPath selector
Documented attack patterns abuse exactly the kind of access click_element_by_selector gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Playwright MCP for macOS, and nothing reaches the server without passing your rules. This is the rule we recommend for click_element_by_selector:
{
"version": "1",
"default": "deny",
"tools": {
"click_element_by_selector": {
"limits": [
{
"counter": "click_element_by_selector_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
} click_element_by_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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Click a UI element using accessibility actions (AXPress) via JSONPath selector. It is categorised as a Execute tool in the Playwright MCP for macOS MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Playwright MCP for macOS MCP server in PolicyLayer and add a rule for click_element_by_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 Playwright MCP for macOS. Nothing to install.
click_element_by_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 click_element_by_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 click_element_by_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.
click_element_by_selector is provided by the Playwright MCP for macOS MCP server (mb-dev/macos-ui-automation-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Playwright MCP for macOS, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
9 Playwright MCP for macOS tools catalogued and risk-classified — across an index of 43,000+ MCP servers.