ebb-ai
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TDQS
Scored across 9 tools
Each tool targets a distinct action in the carbon-aware scheduling lifecycle: forecast, non-committal recommendation, scheduling, status check, single/bulk cancellation, expedite, deadline update, and retry. Overlaps are minimal, and descriptions clearly distinguish read-only planning tools from committing actions.
All tools use snake_case with verb-first naming (get_, recommend_, schedule_, check_, cancel_, expedite_, update_, retry_), making the pattern predictable and readable. cancel_all is a minor deviation but still follows the verb-first convention.
9 tools is well within the ideal 3-15 range for this domain, and each tool corresponds to a meaningful operation in the scheduling workflow without redundancy.
The surface covers the full lifecycle from forecasting and recommending through scheduling, status, cancellation, rescheduling, expediting, and retrying. A minor gap is the lack of an explicit tool to retrieve a completed task's output/result, though check_queue_status may provide some detail.