varta-mcp
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TDQS
Scored across 3 tools
Each tool has a clearly distinct purpose: check_spam_text classifies a single message, get_spam_stats provides aggregate counts, and get_spam_examples shows recent samples. There is no overlap in functionality or confusion about which tool to use for a given task.
All tool names follow a consistent verb_noun pattern: check_spam_text, get_spam_stats, get_spam_examples. The verbs (check, get) and nouns (text, stats, examples) are clear and predictable.
With three tools, the server is on the lower end of the ideal range, but it is well-scoped for a narrow spam-classification utility. Each tool serves a distinct need, and the count feels appropriate rather than sparse.
The core functionality (classifying a text) is covered, along with supporting statistical and example retrieval. Minor gaps exist (e.g., batch processing or category filtering), but these are not essential for the stated purpose and can be worked around.