Agent Harness Construction provides a structured framework to design and optimize AI agent action spaces, tool definitions, and observation formatting for higher completion rates. It establishes rules for granularity, observation design with status and summaries, error recovery contracts, and context budgeting to improve agent planning. Reach for it when you are defining or revising an agent's tool set, action space, or observation format.
Key Features
Action space quality and granularity rules
Standardized observation design principles
Error recovery contract guidelines
Context budgeting and architecture pattern guidance
Privacy & Security
Data Collection
This tool follows industry-standard security practices and only collects data necessary for functionality.