UI ANALYSIS: Get a detailed text-based description of what\
AI agents call inspect_viewport to retrieve information from Scenic MCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves and analyzes the current state of a UI viewport, returning descriptive information without side effects. It is a read-only operation that gathers data about the visual state of a Scenic application.
From the tool's definition Tool name 'inspect_viewport' and description 'UI ANALYSIS: Get a detailed text-based description of what' indicates retrieval of UI state information. No modification, deletion, code execution, or financial operations are performed.
Documented attack patterns abuse exactly the kind of access inspect_viewport gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Scenic MCP, and nothing reaches the server without passing your rules. This is the rule we recommend for inspect_viewport:
{
"version": "1",
"default": "deny",
"tools": {
"inspect_viewport": {}
}
} inspect_viewport is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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UI ANALYSIS: Get a detailed text-based description of what\. It is categorised as a Read tool in the Scenic MCP MCP Server, which means it retrieves data without modifying state.
Register the Scenic MCP server in PolicyLayer and add a rule for inspect_viewport: 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 Scenic MCP. Nothing to install.
inspect_viewport is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the inspect_viewport 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 inspect_viewport. 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.
inspect_viewport is provided by the Scenic MCP server (scenic-contrib/scenic_mcp_experimental). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Scenic MCP, 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 Scenic MCP tools catalogued and risk-classified — across an index of 43,000+ MCP servers.