Data and analytics servers are typically read-heavy with low destructive risk, making them more forgiving on Dimension 5 than database or communication servers. The primary assessment focus shifts to Dimension 1 (tool description quality) — analytics tools with vague parameter descriptions cause agents to construct incorrect queries, producing wrong results with no error signal. Token efficiency is particularly important in this category: analytics responses can be extremely large, and servers that return full datasets when a summary would suffice impose real context costs on every agent interaction.
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