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Scored across 15 tools
Most tools have clearly distinct purposes, but there is notable overlap among counting/aggregation tools (faers_case_counts, faers_count_by_field, faers_top_events) and signal detection tools (faers_signal_screen vs faers_disproportionality). The detailed descriptions clarify scope (e.g., top_events is a convenience form, signal_screen screens all terms), so an agent can usually tell them apart, but a few could still be confused.
All tools use a consistent faers_ prefix and snake_case, which is predictable. However, the naming pattern is not strictly verb_noun throughout; it mixes verb phrases (search_cases, get_report) with noun phrases (case_counts, demographic_profile) and acronyms (ebgm). This is a minor deviation from the ideal verb_noun consistency.
15 tools is appropriate for a comprehensive FAERS analysis server, covering search, retrieval, aggregation, signal detection, and specialized metrics. Each tool appears to earn its place, with only minor redundancy (e.g., top_events as a convenience wrapper). The count is at the upper end of the ideal 3-15 range but well-scoped.
The tool set covers the full lifecycle of FAERS analysis: search (structured and raw), retrieval, counts, disproportionality, EBGM, demographics, outcomes, trends, and co-reported drugs. Field description and cache warming are also included. No obvious gaps for typical signal detection workflows.