The point about the reasoning model choosing when to call a System One tool feels like the strongest part, because it keeps the delegation decision where the context lives. One thing I'd want to see is an abstain rate reported alongside accuracy, since a tool that returns 'unsure' cheaply is very different from one that is confidently wrong. How would you measure whether the extra tool-selection and result-interpretation turns eat the token savings compared with a plain grep-style baseline?