Scoring Agent Data Tools: The Quality Signal Your AI Needs

When AI agents call external tools without visibility into data accuracy or service reliability, they fail in production. Strale separates quality scoring (Is the code correct?) from reliability scoring (Is the service stable?), enabling builders to predict tool performance before integration. This dual-dimension system fills a critical gap in current AI agent architecture where quality issues are discovered only through user-facing failures.