---
title: ToolRouter — Agent Use Case Guide
description: Step-by-step guide for completing a task with a specific AI agent using ToolRouter.
url: https://toolrouter.com/tools/record-collector/use-cases/identify-pressing-from-clues/openclaw
---
# How to Identify a Pressing from Clues with OpenClaw

Determine the exact pressing of a record using catalog numbers, matrix codes, label variations, and other physical clues. Use `identify_pressing`, `edition_match`, and `release_details` to narrow down the possibilities. OpenClaw is the right choice when you need to identify multiple pressings in a batch with a consistent schema, or when you want to rerun identification as new clues surface.

## Setup

openclaw mcp add toolrouter -- npx -y toolrouter-mcp

## Steps

1. Connect ToolRouter in OpenClaw: openclaw mcp add toolrouter -- npx -y toolrouter-mcp
2. Prepare a structured list of clues for each record: catalog number, matrix text, label design, barcode, country, and any additional identifiers.
3. Run `identify_pressing`, `edition_match`, and `release_details` through `record-collector` for each candidate, keeping the output schema stable across runs.
4. Review the batch results, flag low-confidence identifications, and rerun those with any additional clues you can gather.
5. Lock the confirmed identifications into your collection catalog with the supporting evidence.

## Example Prompt

```
Use record-collector to identify three pressings from my crate. For each, I have the label, catalog number, and matrix text. Run identify_pressing, edition_match, and release_details for each. Keep the output schema identical across all three so I can compare them directly.
```

## Tips

- Define the output schema before the first run so all identification results are directly comparable.
- Rerun uncertain identifications after gathering one more clue rather than guessing from incomplete data.
