review_dual
Run dual adversarial reviews on AI outputs using two independent reviewers. Analyzes content from different perspectives and returns fail if either detects critical issues. Provides strict quality validation for high-stakes AI-generated work.
Instructions
Dual adversarial review: two independent reviewers assess the output from different angles, then a merge agent combines their findings. Stricter than single review — if either reviewer finds a critical issue, the merged verdict is FAIL. Use for high-stakes outputs where quality is critical.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| output | Yes | The AI-generated output to review (max 100K chars) | |
| criteria | No | Custom review criteria | |
| review_type | No | Review category label | |
| model | No | Reviewer model ID (default: claude-sonnet-4-6) |