AI agents invoke scroll_page to trigger actions in PageMap. 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.
Scrolling is a browser interaction/action that affects the state of the browser viewport. It fits the Execute category as it triggers an external browser operation. The blast radius is low since scrolling is non-destructive and reversible, but it is an active browser manipulation rather than a pure read.
From the tool's definition 'Scroll the page up or down' — triggers a browser action (scrolling) on an active page
Attacks that exploit this kind of access
Scroll the page up or down. It is categorised as a Execute tool in the PageMap MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the PageMap MCP server in PolicyLayer and add a rule for scroll_page: 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 PageMap. Nothing to install.
scroll_page 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_page 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_page. 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_page is provided by the PageMap MCP server (oci:docker.io/retio1001/pagemap:0.7.3). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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