memorydetective
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TDQS
Scored across 42 tools
Most tools are clearly distinct in purpose, but several memgraph-analysis tools (analyzeMemgraph, findCycles, classifyCycle, reachableFromCycle) overlap in theme and input, though they return different views. Descriptions are detailed enough to help an agent avoid misselection, but the boundary between some trace analyzers (e.g., analyzeAllocations vs analyzeMemoryFootprint) could still confuse.
All 42 tools follow a consistent camelCase convention with a clear verb-noun pattern (analyze*, capture*, list*, find*, etc.). The naming makes it easy to predict tool behavior from its name, and there are no mixed conventions or chaotic verb styles.
42 tools is far beyond the typical well-scoped range and even exceeds the 'heavy' threshold. The server covers many subdomains (leaks, traces, logs, code navigation, CI), but many analyzers could be consolidated into parameterized tools (e.g., a single analyzeTrace with a schema argument). The high count increases selection difficulty and cognitive load.
The tool surface covers the full investigation lifecycle: capture (captureMemgraph, recordTimeProfile, bootAndLaunchForLeakInvestigation), analysis (findCycles, analyzeHangs, analyzeAppLaunch), diffing/verification (diffMemgraphs, verifyFix, compareTracesByPattern), CI integration (detectLeaksInXCTest/UI), and even production diagnostics (analyzeMetricKitPayload). No obvious gaps for the stated purpose.