Your team built a multi-step agent in Azure AI Foundry that calls several tools (a search API, a calculator, and a database query function) to answer user requests. During evaluation, users report that the agent frequently selects the wrong tool or passes malformed arguments, even when the final text answer sounds plausible. You need to add an automated evaluation that specifically measures whether the agent chooses appropriate tools and invokes them with correct parameters, so you can gate deployment on this dimension. Which built-in evaluator should you add to your evaluation run?