AlphaFold Sovereign MCP
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TDQS
Scored across 30 tools
Most tools are clearly distinct in purpose, e.g., lookup vs search, local vs live queries. Minor overlaps exist among variant-focused tools (triage_variant_3d, generate_variant_clinical_report, classify_variant_acmg) but descriptions effectively differentiate them. Overall, an agent can reliably distinguish tool roles.
Tool names follow a consistent pattern: lowercase with underscores, predominantly verb_noun (e.g., lookup_disease, get_disease_targets, analyze_structural_confidence). Even exceptions like phenotype_to_structures are still descriptive and fit the pattern. No mixing of styles ensures predictability.
With 30 tools, the set is on the high side but still within a reasonable range for the broad domain (disease, variant, protein, drug). Some related tools (e.g., three topology comparison tools) could potentially be consolidated, but each serves a distinct analytical step. Slightly heavy but justified.
The tool surface is comprehensive, covering disease ontology, variant interpretation, protein structure confidence/pockets/topology, drug-target landscapes, and local knowledge graph management. Notable gaps: triage_variant_3d explicitly lacks some data sources (AlphaMissense, per-variant frequencies) that are available in other tools, creating a partial dead end. Overall, the domain is well-covered.