The two tools have completely distinct purposes: one analyzes sentiment of text reviews, while the other predicts GMV based on year input. There is no overlap in functionality or potential for confusion between these unrelated domains.

The naming is inconsistent with 'calc' using a generic abbreviation and 'pred_gmv' using a more descriptive verb_noun pattern. While both are short, they follow different conventions without a clear unified naming strategy.

With only two tools, this server feels extremely thin for a tutorial prediction examples server. The tools cover completely unrelated domains (sentiment analysis and GMV prediction), suggesting either an incomplete implementation or a poorly scoped server that should likely be split into separate specialized servers.

For a tutorial examples server, there are significant gaps - each tool represents a single isolated example without supporting operations. There's no way to train models, evaluate predictions, or handle related tasks. The server feels like a collection of disconnected demonstration snippets rather than a coherent tool surface.