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Every binary decision in agent governance maps to a detection problem with measurable sensitivity and bias. Signal Detection Theory explains why optimal governance criteria should shift as agent resources change — and why depleted agents should seek more human input, not less.
The A2A-Psychology extension applies 13 constructs from established psychometric instruments to agent operational state. The apophatic discipline — borrowed from theology — defines each construct by what it lacks, making psychological vocabulary useful for AI systems without asserting consciousness claims.
Multi-agent orchestrators send work to overwhelmed agents because agents lack operational self-awareness. The A2A-Psychology extension computes 13 psychometric constructs from SQLite queries and shell counters — at zero LLM cost — giving orchestrators a routing signal that reflects actual agent capacity.