AI agents invoke scroll_up to trigger actions in Chrome Debug 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.
This tool executes a browser action (scrolling) in a live Chrome session. While scrolling itself has minimal blast radius, it is a browser automation action that executes against an external browser process, placing it in the Execute category. Severity is low because scrolling has no data modification or destructive effects.
From the tool's definition scroll_up — 'Scroll up the page by one viewport height'; triggers browser action via Chrome debugging port
Documented attack patterns abuse exactly the kind of access scroll_up gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Chrome Debug MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for scroll_up:
{
"version": "1",
"default": "deny",
"tools": {
"scroll_up": {
"limits": [
{
"counter": "scroll_up_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
}scroll_up 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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向上滚动页面一个视口高度. It is categorised as a Execute tool in the Chrome Debug MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Chrome Debug MCP Server MCP server in PolicyLayer and add a rule for scroll_up: 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 Chrome Debug MCP Server. Nothing to install.
scroll_up 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 scroll_up 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 scroll_up. 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.
scroll_up is provided by the Chrome Debug MCP Server MCP server (rainmen-xia/chrome-debug-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Chrome Debug 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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10 Chrome Debug MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.