Introducing CAFE(S): A framework for defining AI context quality

Reddit r/AI_Agents 09/24/26, 05:22 PM Papers

ai-framework context-quality agent-effectiveness diagnostic-standard research-paper acm-queue

Summary

Researchers from DX, Capital One, GitHub, UVic, and Google published the CAFE(S) framework in ACM Queue, introducing five properties to improve AI agent effectiveness through better context quality.

Today in ACM Queue, researchers from DX, Capital One, GitHub, UVic, and Google published the CAFE(S) framework, providing "a diagnostic standard for improving AI agent effectiveness." The CAFE(S) framework introduces five properties for improving AI agent effectiveness through better context: Clarity: Can the agent interpret the request the way the person intended? Actionability: Does the agent have clear goals, useful boundaries, and a way to know when the work is done? Fidelity: Is the context true and current when the agent reads it? Efficiency: Is the context scoped to the task, without unnecessary token load? Security: Should the agent have this context at all? Is this something that's been missing?

Original Article

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