The original headline is about a documentation coverage scorecard for AI agents. Let me rewrite it to be punchy and specific.

Short summary

The author proposes a 100-point documentation coverage scorecard with five equally weighted dimensions — problem, reproduction, expected behavior, verification, and limitations — each rated documented, partial, or missing. Applied to a real MonkeyCode issue, it scored 80/100 with gaps in reproduction and limitations. The scorecard is meant to gate agent autonomy: low coverage permits investigation but blocks automatic merges, making missing evidence visible rather than hidden by fluent AI-generated text.

• •100-point scorecard with five dimensions (problem, reproduction, expected behavior, verification, limitations) rates documentation coverage for AI agents
• •Applied to a real MonkeyCode issue scoring 80/100 with reproduction and limitations gaps
• •Coverage thresholds should gate agent autonomy — low scores allow investigation but block automatic merges

Generated with AI, which can make mistakes.