soif-mcp
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TDQS
Scored across 5 tools
Most tools have clearly distinct purposes: estimate_from_usage handles API usage objects, estimate_water handles manual/approximate inputs, compare_models ranks, and pick_low_water_model selects. The only mild ambiguity is between compare_models and pick_low_water_model, which both operate on candidate models and min_tier, though one returns a ranked list and the other returns a single pick.
All tool names follow a descriptive snake_case verb-first pattern: estimate_*, compare_*, pick_*, list_*. The only slight inconsistency is estimate_from_usage using a prepositional phrase rather than the simple verb_noun shape used by the others.
Five tools is well-scoped for this domain. Each tool earns its place: estimation from usage objects, estimation from manual inputs, model comparison, low-water model selection, and known-model metadata.
The toolkit covers the full workflow: lookup known models, estimate water for a single call via either real usage or approximate inputs, compare models for a workload, and pick the least-thirsty model for routing. There are no obvious dead ends or missing core operations for this focused purpose.