Your team runs a RAG-based customer support agent in Azure AI Foundry. During evaluation, stakeholders report that the agent frequently produces answers that are well-written and directly address the user's question, but sometimes include facts that are NOT present in the retrieved documents. You need to configure an automated evaluation that specifically detects this problem while ignoring writing style. Which built-in AI quality metric should you prioritize?