AI agents call browser_resize as a supporting operation in Prometheus MCP Server workflows.
With no description available, classification relies solely on the tool name. 'browser_resize' suggests a browser viewport resize operation, which is a benign UI/display action. However, the empty description significantly lowers confidence. Given the context of a Prometheus/AWS server, this tool seems out of place, further reducing confidence.
From the tool's definition Tool description is empty and uninformative; tool name 'browser_resize' suggests resizing a browser window, which is a UI action with no clear data or system impact
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 Prometheus 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.
Free to start. No card required.
browser_resize. It is categorised as a Other tool in the Prometheus MCP Server MCP Server, which means it performs auxiliary operations.
Register the Prometheus 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 Prometheus 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 Prometheus MCP Server MCP server (awslabs.prometheus-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Prometheus 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 Prometheus MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.