mcp-powerBI-to-report
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TDQS
Scored across 11 tools
Most tools have distinct purposes, but `execute_dax_dashboard_query` is an explicit alias for `execute_dax_report_query`, creating redundancy. Additionally, multiple tools list semantic models via different methods (`list_semantic_models`, `list_semantic_models_in_workspace_via_modeling_mcp`, `get_catalog`), which could confuse an agent if descriptions are skimmed. However, the descriptions clearly indicate when each is appropriate, so ambiguity is minimal.
All tool names follow a consistent `verb_noun` pattern using snake_case. Verbs like `auth`, `complete`, `execute`, `get`, `list`, and `start` are clear and predictable. Even lengthy names like `list_semantic_models_in_workspace_via_modeling_mcp` adhere to the pattern. No mixing of naming conventions.
With 11 tools, the count is within the typical well-scoped range. However, there is some redundancy: three authentication tools and four listing tools, with an alias that could be merged. Slightly more than necessary for the domain, but justified by different authentication methods and fallback scenarios.
The tool set covers the full workflow for Power BI reporting: authentication, workspace discovery, semantic model listing, and DAX query execution that returns a report. Minor gaps exist, such as no direct tool to list reports or manage models, but the primary purpose of querying and generating reports is well-covered.