dag-studio-mcp
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TDQS
Scored across 9 tools
Each tool has a unique action (parse, analyze, check, get, validate, generate, classify, simulate, compute) targeting distinct aspects of DAG analysis. Even the adjustment-related tools are clearly separated: analyze_dag finds adjustment sets, check_overadjustment validates a proposed set, and compute_bias demonstrates numerical bias.
All tool names follow a consistent verb_noun pattern using lowercase and underscores. The naming is predictable and uniform, with no mixing of conventions.
With 9 tools, the server is well-scoped for its purpose, covering parsing, analysis, validation, simulation, and code generation without redundancy or bloat. Each tool earns its place in the workflow.
The tool set covers the full DAG analysis workflow: input parsing, identifiability and minimal adjustment sets, overadjustment detection, effect modification classification, data simulation, bias computation, code generation, and engine validation. No obvious gaps exist for the intended domain.