analyze_uae_usage
Scan pages for uael-* widget usage across the site.
This record as markdown: /tools/vamerli-elementify-mcp/analyze-uae-usage.md
What analyze_uae_usage does on Elementify MCP
AI agents call analyze_uae_usage to retrieve information from Elementify MCP without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why analyze_uae_usage is rated Low
This tool performs a read-only analysis of existing page data to identify which Ultimate Addons for Elementor (UAEL) widgets are in use across a WordPress site. Scanning, analyzing, and reporting on data patterns has no side effects and falls squarely within the Read category. The blast radius of misuse is minimal—an attacker could gain visibility into addon usage patterns but cannot modify, delete, or execute code.
From the tool's definition Tool name 'analyze_uae_usage' and description 'Scan pages for uael-* widget usage across the site' indicate a scanning/auditing operation that retrieves and examines data about widget usage without modifying any content.
Attacks that exploit this kind of access
The rule that runs analyze_uae_usage safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Elementify MCP, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For analyze_uae_usage, this is the rule to start with:
analyze_uae_usage is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Elementify MCP, apply this rule, and every analyze_uae_usage call is checked against it from then on.
Questions about analyze_uae_usage
Scan pages for uael-* widget usage across the site. It is categorised as a Read tool in the Elementify MCP MCP Server, which means it retrieves data without modifying state.
Register the Elementify MCP server in PolicyLayer and add a rule for analyze_uae_usage: 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 Elementify MCP. Nothing to install.
analyze_uae_usage 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 analyze_uae_usage 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 analyze_uae_usage. 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.
analyze_uae_usage is provided by the Elementify MCP server (vamerli/elementify-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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