Execute arbitrary Playwright code directly. This allows for advanced automation tasks that are not covered by other tools. The code should be wrapped in an async function. Example: (async () => { await page.goto(
AI agents invoke browser_playwright_code 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 allows arbitrary code execution through Playwright, which can perform any browser automation action including navigation, form submission, file uploads, data exfiltration, credential theft, and triggering unintended side effects. The 'arbitrary' qualifier and lack of constraints make this Execute-level risk.
From the tool's definition Tool name contains 'Execute arbitrary Playwright code directly' and explicitly states it allows 'advanced automation tasks'.
Attacks that exploit this kind of access
Execute arbitrary Playwright code directly. This allows for advanced automation tasks that are not covered by other tools. The code should be wrapped in an async function. Example: (async () => { await page.goto(. 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_playwright_code: 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_playwright_code 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_playwright_code 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_playwright_code. 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_playwright_code 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.
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