An ambiguous goal is a high-level objective that lacks a clear, specific definition, leaving multiple valid interpretations. When an agent is given an ambiguous goal, it must make an assumption to proceed, which can lead to outcomes that are misaligned with human intent.
Why it matters: Ambiguity is a significant source of failure in agentic systems. It leads to unpredictable outputs, complicates quality evaluation, and increases debugging costs.
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