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Scored across 19 tools
Most tools target clearly distinct resources or analytical tasks—trace lookup/search, LLM usage, sessions, models, prompts, and spike investigation are separated. A few tools overlap in spirit (search_traces vs find_errors, compare_time_windows vs investigate_cost_spike), but the descriptions provide enough differentiation to avoid serious misselection.
The overwhelming majority follow a clean snake_case verb_noun pattern (list_services, get_trace, investigate_cost_spike, get_llm_model_stats). The deviations are search_spans_tool and list_llm_tools_tool, whose redundant or awkward _tool suffix breaks the otherwise predictable convention.
Nineteen tools is on the heavy side and sits in the 16-25 range where a toolset starts to feel bulky. The breadth is somewhat justified by the combination of general tracing, LLM analytics, session analysis, and spike investigation, but several specialized investigation tools could arguably be folded into fewer general-purpose tools.
The surface covers trace search/retrieval, root-cause reasoning, error discovery, LLM usage/model stats, session grouping, prompt metrics, and cost/error spike analysis, leaving few obvious dead ends. Notable minor gaps are per-service detailed performance metrics and dependency/map-style analysis tools.
