Your team is building an automated evaluation workflow in Azure AI Foundry for a customer-support chat agent. You have a test dataset containing the user query, the retrieved context passages, and the model's generated response, but you do NOT have any human-written ground-truth answers. Leadership wants a built-in AI quality metric that assesses whether the generated responses are grammatically correct and read naturally, independent of any reference answer. Which built-in metric should you configure?