Related Servers

Each tool has a clearly distinct purpose with no ambiguity. For example, find_entities_by_metric filters entities by metrics, get_usage_summary provides aggregated usage data, and get_visit_trends focuses on time-series trends. The descriptions reinforce non-overlapping functionalities, making tool selection straightforward.

All tools follow a consistent verb_noun pattern (e.g., get_usage_summary, find_entities_by_metric, top_change). The naming is uniform across all eight tools, using snake_case and descriptive terms that clearly indicate their functions without any deviations or mixed conventions.

With 8 tools, the server is well-scoped for analytics and data retrieval in an Elasticsearch context. Each tool serves a specific analytical purpose (e.g., breakdowns, trends, distributions), and none appear redundant or trivial, making the count appropriate for the domain.

The toolset covers core analytics operations like summaries, trends, breakdowns, and distributions, with good coverage for metrics such as visits, ratings, and subscriptions. A minor gap exists in CRUD operations (e.g., creating or updating data), but this is reasonable given the server's focus on querying and analysis rather than data manipulation.