Nanostores MCP
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TDQS
Scored across 12 tools
Each tool has a clearly distinct purpose with no ambiguity; for example, nanostores_store_impact is specifically for downstream dependency chains, while nanostores_store_subgraph handles bidirectional neighborhoods, and nanostores_scan_project focuses on project indexing versus nanostores_project_outline for summaries. The descriptions explicitly differentiate overlapping tools like nanostores_store_impact and nanostores_store_subgraph, preventing misselection.
All tools follow a consistent snake_case pattern with a 'nanostores_' prefix and descriptive verb_noun combinations (e.g., nanostores_clear_cache, nanostores_docs_search). The naming is predictable and uniform across all 12 tools, making them easily identifiable and readable without any deviations in style.
With 12 tools, the count is well-scoped for the server's purpose of analyzing and debugging Nanostores projects. Each tool serves a specific role in static analysis, runtime monitoring, documentation, and performance tuning, covering a comprehensive workflow without being excessive or insufficient for the domain.
The tool set provides complete coverage for the Nanostores domain, including project scanning (nanostores_scan_project), runtime health checks (nanostores_runtime_overview), debugging (nanostores_store_activity), dependency analysis (nanostores_store_impact), documentation (nanostores_docs_search), and performance optimization (nanostores_find_noisy_stores). There are no obvious gaps; agents can handle all core workflows from setup to troubleshooting.