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Evaluation metric example: Check if tool was called

n8nn8n11 modulesv1.0
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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 evalu

At a glance

Evaluation metric example: Check if tool was called is a ready-made n8n workflow you import as a workflow JSON file — no build required. It connects UNSUPPORTED_SLUG_FORMAT. It's free to download. Follow the 5-step import below to go live in minutes.

Platform
n8n
Connects
UNSUPPORTED_SLUG_FORMAT
Modules
11
Price
Free
Version
v1.0
Evaluation metric example: Check if tool was called workflow diagram

About this workflow

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

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How to import this n8n workflow

  1. 1

    Download the workflow JSON file after purchase.

  2. 2

    Open n8n → click the menu → Import from File.

  3. 3

    Select the downloaded JSON and import.

  4. 4

    Set up credentials for each node that requires them.

  5. 5

    Click Execute Workflow to test, then activate.

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