AI agents invoke browser_hover to trigger actions in Amazon Redshift 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 name 'browser_hover' implies executing a browser action (simulating a mouse hover over a UI element), which falls under Execute. However, the empty description significantly reduces confidence. It is unusual to find a browser interaction tool on a Redshift MCP server, suggesting possible mislabeling or a multi-purpose server.
From the tool's definition Tool name 'browser_hover' suggests a browser interaction action (hovering over an element), but the description is empty and uninformative.
Documented attack patterns abuse exactly the kind of access browser_hover gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Amazon Redshift MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for browser_hover:
{
"version": "1",
"default": "deny",
"tools": {
"browser_hover": {
"limits": [
{
"counter": "browser_hover_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
} browser_hover 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.
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browser_hover. It is categorised as a Execute tool in the Amazon Redshift MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Amazon Redshift MCP Server MCP server in PolicyLayer and add a rule for browser_hover: 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 Redshift MCP Server. Nothing to install.
browser_hover 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_hover 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_hover. 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_hover is provided by the Amazon Redshift MCP Server MCP server (awslabs.redshift-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Amazon Redshift 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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