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Scored across 20 tools
Most tools are clearly distinct by resource type (App Service vs AKS vs Container Apps) and by action (overview vs logs vs metrics vs query). However, azure_logs_query and azure_appinsights_failures both query application telemetry and could be confused, though one is a raw query and the other is a pre-built triage. Also, azure_appservice_logs and azure_containerapp_logs are similar but differ by platform.
The naming pattern is mostly consistent with a resource prefix (azure_<resourcetype>_<action>), e.g., azure_appservice_logs, azure_containerapp_overview, azure_aks_workloads. However, there are several tools that break this pattern: azure_context, azure_find_resources, azure_resource_graph_query, and azure_logs_query lack a clear resource type in the name, making them less predictable. But the overall style is still uniform (snake_case, resource-first).
With 20 tools, this is at the upper edge of a well-scoped set. Each tool covers a specific debugging need, and there is no redundancy or bloat. It feels slightly heavy because azure_get_resource could be redundant with azure_find_resources plus the ARM API, but it's still reasonable given the breadth of Azure services covered.
The tool surface is remarkably complete for the domain of Azure debugging. It covers resource discovery (find_resources, resource_graph_query), state (get_resource, resource_health), metrics (azure_metrics), logs (appservice_logs, containerapp_logs, aks_pod_logs, logs_query), diagnostics (azure_diagnostics, appinsights_failures), telemetry locations (azure_telemetry_locations), and change tracking (azure_recent_changes, activity_log). It provides a full lifecycle for investigating any Azure resource, and the ability to drill down from broad to specific.