AI agents call browser_tabs as a supporting operation in AWS Lambda Tool MCP Server workflows.
The description is empty, providing no information about what this tool does. The name 'browser_tabs' suggests browser tab management, but in the context of an AWS Lambda MCP server, its purpose is unclear. Without evidence, confidence is very low and defaulting to Other with low severity.
From the tool's definition Tool name is 'browser_tabs' and description is empty or uninformative.
Documented attack patterns abuse exactly the kind of access browser_tabs gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and AWS Lambda Tool MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for browser_tabs:
{
"version": "1",
"default": "deny",
"tools": {
"browser_tabs": {
"limits": [
{
"counter": "browser_tabs_rate",
"window": "minute",
"max": 60,
"scope": "grant"
}
]
}
}
} browser_tabs gets a rate cap, and everything else on the server is denied unless you say otherwise.
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browser_tabs. It is categorised as a Other tool in the AWS Lambda Tool MCP Server MCP Server, which means it performs auxiliary operations.
Register the AWS Lambda Tool MCP Server MCP server in PolicyLayer and add a rule for browser_tabs: 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 Lambda Tool MCP Server. Nothing to install.
browser_tabs is a Other tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the browser_tabs 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_tabs. 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_tabs is provided by the AWS Lambda Tool MCP Server MCP server (awslabs.lambda-tool-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from AWS Lambda Tool MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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805 AWS Lambda Tool MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.