snowflake-analytics-mcp-server
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TDQS
Scored across 8 tools
Each tool targets a distinct entity or action: databases, schemas, tables, warehouses, connection status, table metadata, sample data, and arbitrary SQL. No overlapping purposes, so agents can reliably select the correct tool.
All tool names follow a consistent verb_noun pattern with lowercase underscores (e.g., list_databases, describe_table, execute_query). Even test_connection and get_table_sample adhere to the pattern, making naming predictable and easy to reason about.
Eight tools provide a focused but complete set for an analytics use case, covering discovery, metadata, sampling, and querying. The count is well-scoped without unnecessary redundancy or missing essentials.
The tool surface covers the full analytics workflow: connection verification, listing entities (databases, schemas, tables/views, warehouses), schema exploration, data preview, and arbitrary read-only queries. No obvious gaps for the stated domain.