Scored across 17 tools
Most tools have distinct purposes (page-load summaries, resource hotspots, main-thread hotspots, scroll jank, startup, interactions). However, `chrome_page_load_resource_summary`, `chrome_page_load_resource_hotspots`, and `chrome_page_load_resource_pipeline` all deal with resource URL analysis and could be confused, though their descriptions clarify the intended sequence (summary → hotspots → pipeline). The generic `execute_sql` and `list_*` tools are clearly separate.
All tools follow a consistent snake_case pattern with a clear domain prefix: `chrome_*` for Chrome-specific analysis, `list_*` for exploration, `execute_sql`, `load_trace`, `slice_descendants_breakdown`. Verbs are uniform (list, load, execute, chrome_page_load_*, chrome_main_thread_*) and the naming clearly indicates the tool's function.
17 tools is on the higher side but justified for a comprehensive Perfetto trace analysis server covering Chrome performance domains (page loads, resources, main thread, jank, startup, interactions) plus general SQL and schema exploration. Each tool serves a distinct purpose, and the count reflects the breadth of the domain without being bloated.
The tool set covers major Chrome performance analysis workflows (page loads, resources, main-thread tasks, scroll jank, startup, web interactions) plus generic trace exploration (processes, threads, tables, SQL). Minor gaps exist: no dedicated tool for memory or CPU profile analysis, and the resource pipeline depends on the summary/hotspots sequence, but `execute_sql` covers custom needs.