Simulate pressing a single key on the keyboard. Supports special keys (ArrowLeft, ArrowRight, Enter, Escape, Tab, etc.) and regular characters (a, b, 1, 2, etc.). Useful for navigation, keyboard shortcuts, and triggering key-based interactions.
AI agents invoke browser_press_key to trigger actions in MCP Macaco Playwright. 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.
Simulating keyboard input is an action that triggers external operations in the browser. Pressing keys like Enter can submit forms, keyboard shortcuts can trigger application actions, and key sequences can navigate/modify state in ways that depend on context. This is an Execute-level operation as it drives browser interactions with variable and context-dependent effects.
From the tool's definition Simulate pressing a single key on the keyboard... Useful for navigation, keyboard shortcuts, and triggering key-based interactions.
Attacks that exploit this kind of access
Simulate pressing a single key on the keyboard. Supports special keys (ArrowLeft, ArrowRight, Enter, Escape, Tab, etc.) and regular characters (a, b, 1, 2, etc.). Useful for navigation, keyboard shortcuts, and triggering key-based interactions. It is categorised as a Execute tool in the MCP Macaco Playwright MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the MCP Macaco Playwright MCP server in PolicyLayer and add a rule for browser_press_key: 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 MCP Macaco Playwright. Nothing to install.
browser_press_key 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 browser_press_key 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 browser_press_key. 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.
browser_press_key is provided by the MCP Macaco Playwright MCP server (macacoai/mcp-playwright). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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