Evaluation metric example: Check if tool was called

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Important notice

This workflow is provided as-is. Please review and test before using in production.

1. Workflow Overview

AI evaluation in n8n This is a template for n8n's evaluation feature. Evaluation is a technique for getting confidence that your AI workflow ...

Best for

Engineering automation workflows
AI Summarization automation workflows
advanced n8n builders looking for reusable templates

Tools used

@n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmchatopenai, @n8n/n8n-nodes-langchain.toolcalculator, n8n-nodes-base.set, n8n-nodes-base.httprequesttool, n8n-nodes-base.stickynote, @n8n/n8n-nodes-langchain.chattrigger, n8n-nodes-base.noop

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by David Roberts.

Original n8n.io source

1.1 Workflow description

Title: Evaluation metric example: Check if tool was called
Workflow name: 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

1.2 Logical Blocks

This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.

2. Block-by-Block Analysis

Block 1 - AI Agent

Type / Role: @n8n/n8n-nodes-langchain.agent - agent
Config choices: Version 1.9

Block 2 - OpenAI Chat Model

Type / Role: @n8n/n8n-nodes-langchain.lmChatOpenAi - lmChatOpenAi
Config choices: Version 1.2

Block 3 - Calculator

Type / Role: @n8n/n8n-nodes-langchain.toolCalculator - toolCalculator
Config choices: Version 1

Block 4 - Check if tool called

Type / Role: n8n-nodes-base.set - set
Config choices: Version 3.4

Block 5 - Fetch a webpage

Type / Role: n8n-nodes-base.httpRequestTool - httpRequestTool
Config choices: Version 4.2

Block 6 - Sticky Note

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 7 - When chat message received

Type / Role: @n8n/n8n-nodes-langchain.chatTrigger - chatTrigger
Config choices: Version 1.1

Block 8 - Match chat format

Type / Role: n8n-nodes-base.set - set
Config choices: Version 3.4

Block 9 - Sticky Note1

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 10 - Return chat response

Type / Role: n8n-nodes-base.noOp - noOp
Config choices: Version 1

Block 11 - Sticky Note3

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 12 - Sticky Note4

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 13 - When fetching a dataset row

Type / Role: n8n-nodes-base.evaluationTrigger - evaluationTrigger
Config choices: Version 4.6

Block 14 - Evaluation

Type / Role: n8n-nodes-base.evaluation - evaluation
Config choices: Version 4.6

Block 15 - Evaluating?

Type / Role: n8n-nodes-base.evaluation - evaluation
Config choices: Version 4.6

3. Summary Table

Workflow	Evaluation metric example: Check if tool was called
Complexity	advanced
Nodes	15
Categories	Engineering, AI Summarization
Author	David Roberts
Published	21 May 2025

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

Use the JSON export at /data/workflows/4268/4268.json as the source template for this automation.
2. Import the template into n8n

Open n8n, import the downloaded JSON, and review each node before activating the workflow.
3. Configure credentials and variables

Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
4. Test with sample data

Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
5. Activate and monitor

Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.

5. General Notes & Resources

Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.

Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.

Download workflow JSON Original n8n.io source Engineering workflows AI Summarization workflows

Frequently asked questions

What does Evaluation metric example: Check if tool was called do?

AI evaluation in n8n This is a template for n8n's evaluation feature. Evaluation is a technique for getting confidence that your AI workflow ...

What do I need before importing this workflow?

Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.

Can I customize this workflow?

Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Engineering, AI Summarization use case.

David Roberts

18 workflows

Nodes

@n8n/n8n-nodes-langchain.agent @n8n/n8n-nodes-langchain.lmchatopenai @n8n/n8n-nodes-langchain.toolcalculator n8n-nodes-base.set n8n-nodes-base.httprequesttool n8n-nodes-base.stickynote @n8n/n8n-nodes-langchain.chattrigger n8n-nodes-base.noop

Complexity

advanced

Published 21 May 2025

Likes 0

View on n8n.io Download Workflow

Install path: /data/workflows/4268/4268.json

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Evaluation metric example: Check if tool was called

Workflow preview

Important notice

1. Workflow Overview

Best for

Tools used

Source and attribution

1.1 Workflow description

AI evaluation in n8n

How it works

1.2 Logical Blocks

2. Block-by-Block Analysis

Block 1 - AI Agent

Block 2 - OpenAI Chat Model

Block 3 - Calculator

Block 4 - Check if tool called

Block 5 - Fetch a webpage

Block 6 - Sticky Note

Block 7 - When chat message received

Block 8 - Match chat format

Block 9 - Sticky Note1

Block 10 - Return chat response

Block 11 - Sticky Note3

Block 12 - Sticky Note4

Block 13 - When fetching a dataset row

Block 14 - Evaluation

Block 15 - Evaluating?

3. Summary Table

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

2. Import the template into n8n

3. Configure credentials and variables

4. Test with sample data

5. Activate and monitor

5. General Notes & Resources

Frequently asked questions