AI agents invoke browser_tab_select to trigger actions in Playwright MCP with Electron Support. 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.
Selecting a tab is a browser interaction/navigation action that changes application state. It fits Execute because it triggers an external browser operation rather than merely reading data or writing content. Misuse could redirect an agent's browsing context to unintended pages, but blast radius is moderate.
From the tool's definition 'Select a tab by index' — triggers a browser UI action that changes the active tab, affecting the state of an automated browser session
Documented attack patterns abuse exactly the kind of access browser_tab_select gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Playwright MCP with Electron Support, and nothing reaches the server without passing your rules. This is the rule we recommend for browser_tab_select:
{
"version": "1",
"default": "deny",
"tools": {
"browser_tab_select": {
"limits": [
{
"counter": "browser_tab_select_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
} browser_tab_select 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.
Free to start. No card required.
Select a tab by index. It is categorised as a Execute tool in the Playwright MCP with Electron Support MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Playwright MCP with Electron Support MCP server in PolicyLayer and add a rule for browser_tab_select: 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 with Electron Support. Nothing to install.
browser_tab_select 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_tab_select 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_tab_select. 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_tab_select is provided by the Playwright MCP with Electron Support MCP server (robertn702/playwright-mcp-electron). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Playwright MCP with Electron Support, 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.
34 Playwright MCP with Electron Support tools catalogued and risk-classified — across an index of 43,000+ MCP servers.