AI agents invoke browser_mouse_wheel to trigger actions in AWS Labs amazon-qindex MCP Server. 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.
The tool name implies triggering a browser mouse wheel action, which is a browser automation/execution operation. Browser actions can have significant side effects depending on context (scrolling through content, triggering dynamic page events, etc.). However, the empty description significantly reduces confidence.
From the tool's definition Tool name 'browser_mouse_wheel' suggests browser interaction (mouse wheel event), but description is empty and uninformative.
Documented attack patterns abuse exactly the kind of access browser_mouse_wheel gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and AWS Labs amazon-qindex MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for browser_mouse_wheel:
{
"version": "1",
"default": "deny",
"tools": {
"browser_mouse_wheel": {
"limits": [
{
"counter": "browser_mouse_wheel_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
} browser_mouse_wheel 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.
browser_mouse_wheel. It is categorised as a Execute tool in the AWS Labs amazon-qindex MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the AWS Labs amazon-qindex MCP Server MCP server in PolicyLayer and add a rule for browser_mouse_wheel: 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 AWS Labs amazon-qindex MCP Server. Nothing to install.
browser_mouse_wheel 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_mouse_wheel 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_mouse_wheel. 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_mouse_wheel is provided by the AWS Labs amazon-qindex MCP Server MCP server (awslabs.amazon-qindex-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from AWS Labs amazon-qindex MCP Server, 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.
805 AWS Labs amazon-qindex MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.