Handles native browser dialogs that appear from JavaScript alert(), confirm(), or prompt() calls. Can accept/dismiss and provide text input for prompts.
AI agents invoke browser_handle_dialog 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.
This tool interacts with live browser dialog interactions triggered by JavaScript execution. Accepting or dismissing dialogs can trigger downstream actions in web applications (e.g., confirming a destructive action, submitting a prompt response), making it an Execute-level operation. Misuse could lead to unintended confirmations of critical operations on web pages.
From the tool's definition Handles native browser dialogs that appear from JavaScript alert(), confirm(), or prompt() calls. Can accept/dismiss and provide text input for prompts.
Attacks that exploit this kind of access
Handles native browser dialogs that appear from JavaScript alert(), confirm(), or prompt() calls. Can accept/dismiss and provide text input for prompts. 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_handle_dialog: 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_handle_dialog 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_handle_dialog 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_handle_dialog. 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_handle_dialog 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.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
Teams ship this data inside their own products. See what a licence covers →