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 tools that it used
• We then check whether the expected tool (from the dataset) is in that list
• Finally we pass this information back to n8n as a metric