Most tools have clearly distinct responsibilities: ingestion (convert_statement, request_upload), retrieval (get_statement, list_statements), analysis (aggregate, group_by, top_n, compare, time_series), and management (rate_statement, dismiss_statement, categorize_statement). The six analytics tools share similar scope/metric language and could occasionally be confused, but their descriptions are explicit enough to disambiguate.

The statement lifecycle tools follow a consistent verb_noun pattern (convert_statement, get_statement, list_statements, dismiss_statement, rate_statement, categorize_statement). However, the analytics tools break this pattern with bare verbs and phrases like aggregate, compare, group_by, top_n, and time_series, making the overall naming convention mixed but still readable.

At 16 tools, the server is slightly above the ideal 3-15 range but each tool earns its place across ingestion, document management, analytics, transfers, credits, and benchmarking. The count feels justified for the domain breadth, though a few analytics tools could theoretically be consolidated.

The domain is well covered: conversion, upload, retrieval, listing, rating, categorization, dismissal, transaction queries, aggregations, transfer matching, credits, and benchmark evaluation are all present. Minor gaps exist, such as no permanent delete (dismiss only hides) and no dedicated account-list endpoint, but these are workable and not core dead ends.