spark-profiler-mcp
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TDQS
Scored across 14 tools
Most tools target distinct aspects (health, call trees, heap, threads, etc.) with clear descriptions. Minor overlap between get_health and get_summary, and between get_top_self_time and get_sources_breakdown, but descriptions sufficiently differentiate them.
All tools follow a consistent verb_noun pattern using underscores (e.g., list_profiles, get_health, search_call_tree). Only 'diagnose' is a single word but fits the pattern. No mixing of styles.
14 tools cover the core functionality of a spark profiler (loading, listing, health, call trees, heap, threads, system stats, diagnosis) without being excessive. Each tool has a clear purpose and earns its place.
The set covers the main analysis workflows: load, list, health, call trees, heap, threads, system info, and diagnosis. Missing a tool to clear/unload profiles, and no export or flame graph visualization, but core diagnostic needs are met.