Execute multiple browser actions in one call. PREFERRED over individual click/type calls \u2014 dramatically reduces round-trips and tokens. Use
AI agents invoke browser_batch to trigger actions in Playwright Autopilot. 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.
browser_batch is an Execute category tool because it runs a sequence of browser commands whose effects depend entirely on the arguments provided—navigation, form submission, clicks, and key presses can trigger any application behavior. While not inherently Destructive (no irreversible deletion mentioned), Execute is the appropriate category for code/action execution.
From the tool's definition Tool executes multiple browser actions ("Execute multiple browser actions in one call") which directly maps to triggering external operations.
Documented attack patterns abuse exactly the kind of access browser_batch gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Playwright Autopilot, and nothing reaches the server without passing your rules. This is the rule we recommend for browser_batch:
{
"version": "1",
"default": "deny",
"tools": {
"browser_batch": {
"limits": [
{
"counter": "browser_batch_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
}browser_batch 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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Execute multiple browser actions in one call. PREFERRED over individual click/type calls \u2014 dramatically reduces round-trips and tokens. Use. It is categorised as a Execute tool in the Playwright Autopilot MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Playwright Autopilot MCP server in PolicyLayer and add a rule for browser_batch: 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 Autopilot. Nothing to install.
browser_batch 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_batch 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_batch. 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_batch is provided by the Playwright Autopilot MCP server (kaizen-yutani/playwright-autopilot). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Playwright Autopilot, 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.
51 Playwright Autopilot tools catalogued and risk-classified — across an index of 43,000+ MCP servers.