AI agents call browser_resize as a supporting operation in Amazon Location Service MCP Server workflows.
With no description available, classification is uncertain. The name 'browser_resize' suggests resizing a browser window, which would typically be an Execute-category action (triggering an external operation). However, this tool appears mismatched with the Amazon Location Service context, raising doubt about its actual function. Confidence is low due to the empty description.
From the tool's definition Tool name is 'browser_resize' but the description is empty and uninformative. The name suggests a UI/browser viewport resize action, which is unusual for an Amazon Location Service MCP server.
Documented attack patterns abuse exactly the kind of access browser_resize gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Amazon Location Service MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for browser_resize:
{
"version": "1",
"default": "deny",
"tools": {
"browser_resize": {
"limits": [
{
"counter": "browser_resize_rate",
"window": "minute",
"max": 60,
"scope": "grant"
}
]
}
}
} browser_resize gets a rate cap, and everything else on the server is denied unless you say otherwise.
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browser_resize. It is categorised as a Other tool in the Amazon Location Service MCP Server MCP Server, which means it performs auxiliary operations.
Register the Amazon Location Service MCP Server MCP server in PolicyLayer and add a rule for browser_resize: 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 Amazon Location Service MCP Server. Nothing to install.
browser_resize 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_resize 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_resize. 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_resize is provided by the Amazon Location Service MCP Server MCP server (awslabs.aws-location-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Amazon Location Service 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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