Evaluation metric example: Check if tool was called

AI evaluation in n8n This is a template for n8n's evaluation feature. Evaluation is a technique for getting confidence that your AI workflow performs reliably, by running a test dataset containing different inputs through the workflow. By calculating a metric (score) for each input, you can see where the workflow is performing well and where it isn't. How it works This template shows how to calculate a workflow evaluation metric: whether a specific tool was called by an agent. We use an evaluation trigger to read in our dataset It is wired up in parallel with the regular trigger so that the workflow can be started from either one. More info We make sure that the agent outputs the list of too

Help me set up the n8n workflow "Evaluation metric example: Check if tool was called" (https://n8n.io/workflows/4268). It uses: AI Agent, OpenAI Chat Model, Calculator, Evaluation. Import the template JSON into my n8n instance, list every credential I need to create, and walk me through testing it.