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Scored across 6 tools
Each tool has a distinct primary purpose, and the descriptions explicitly steer agents between similar-sounding tools (e.g. annotate_variant vs get_variant_effects, convert_variant vs liftover_coordinate). Some boundary overlap remains between coordinate normalization/liftover and between annotation/effect retrieval, but it is manageable.
All tool names use consistent snake_case with an action-object structure: get_gene, annotate_variant, convert_variant, get_variant_effects, liftover_coordinate, and explain_acmg_decision_path. The pattern is predictable even where the object is compound.
Six tools are well scoped for a focused human genetics annotation server. Each tool covers a clear, non-redundant step in gene/variant lookup, interpretation, explanation, normalization, effect listing, and liftover.
The surface covers the core workflows: gene lookup, variant annotation/classification, ACMG explanation, variant normalization, transcript effects, and genome-build liftover. Minor gaps exist, such as batch annotation or direct phenotype/disease lookup, but no major workflow dead end is apparent.