Scores a prompt you're about to send (or just sent) to an AI coding assistant against Promptest's validated 5-category rubric (Specificity, Clarity, Scope, Verification, Constraint Calibration). Returns an overall grade, category breakdown, and CRG-RIS-backed guidance. Returns a taskId — call log_outcome with that taskId once you know how it actually went, to build a personal track record of what your prompting style actually predicts.

Records what actually happened after a prompt (previously scored via grade_prompt) was used — whether it succeeded, how many turns/messages it took to resolve, whether the fix stayed in scope, and whether the prompt named the bug's root cause and location. This is the data that lets Promptest MCP tell you what actually predicts good outcomes for YOUR prompting style, not just what the rubric guesses in the abstract.

Returns your personal history of graded prompts and logged outcomes, plus aggregate stats (average score, success rate, and — the key CRG-RIS finding — average turns-to-resolve when you named the root cause/fix location vs. when you didn't).

Explains Promptest's 5-category rubric and the CRG-RIS study findings behind this MCP's guidance, without grading anything. Useful for understanding what the scores mean before you start.