Scroll the page by one step.
AI agents invoke Browser-Scroll-One-Step to trigger actions in MCP GitHub Login Automation 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.
Scrolling is a browser action executed via Playwright. While it has minimal direct impact on its own, it is part of a browser automation suite used for credential management and GitHub login, so it contributes to an automation chain. The action itself is low severity as it only moves the viewport, but it is an Execute-category action since it triggers an external browser operation.
From the tool's definition 'Scroll the page by one step' — triggers a browser action (scrolling) via Playwright automation
Attacks that exploit this kind of access
Scroll the page by one step. It is categorised as a Execute tool in the MCP GitHub Login Automation Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the MCP GitHub Login Automation Server MCP server in PolicyLayer and add a rule for Browser-Scroll-One-Step: 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 MCP GitHub Login Automation Server. Nothing to install.
Browser-Scroll-One-Step 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-Scroll-One-Step 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-Scroll-One-Step. 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-Scroll-One-Step is provided by the MCP GitHub Login Automation Server MCP server (nikhil-kandekar/mcp-server-demo). 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.
Teams ship this data inside their own products. See what a licence covers →