io.github.bdbais/routeai
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TDQS
Scored across 11 tools
Each tool has a mostly distinct purpose, with action and resource clearly separated. The main overlaps are fleet_status vs fleet_usage on usage/savings metrics and fleet_job vs fleet_queue on background work status, but the descriptions clarify the boundaries.
All tools share the fleet_ prefix and use lowercase snake_case throughout. The verb/noun suffixes are intuitively matched to each operation, making the naming pattern highly predictable.
With 11 tools, the set is well-scoped and covers the fleet lifecycle without redundancy or bloat. Each tool has a clear role, and the count is comfortably within the ideal range.
The core workflow is well covered: set up the fleet, manage nodes, delegate single/batch tasks, queue work, monitor jobs, provide feedback, benchmark, and track usage. Minor gaps include no way to cancel a running background job or remove a pulled model.