Smart-AI-Bridge
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TDQS
Scored across 17 tools
Most tools have clearly separated purposes, and the descriptions explicitly cross-reference alternatives to reduce confusion (e.g., analyze_file vs batch_analyze vs explore; generate_file vs dual_iterate). Minor residual ambiguity exists among ask/council/spawn_subagent and review/analyze_file, but the in-description disambiguation is strong.
The file-focused tools follow a recognizable verb_file pattern (analyze_file, generate_file, modify_file) and batch_* is a useful prefix, but the set mixes bare verbs (ask, review, explore, refactor), noun-style names (council, parallel_agents), and compound names (dual_iterate, check_backend_health). No single naming convention is sustained across the full toolset.
At 17 tools, the server is slightly past the typical 3-15 well-scoped range, but it spans codebase analysis, file mutation, backup management, AI orchestration, and backend operations, so most tools earn their place. It is a bit heavy for an agent to choose among, but not bloated.
The surface covers file generation, single and batch editing, refactoring, backup/restore, code analysis/search, and multiple multi-agent orchestration modes, leaving few dead ends. The main gaps are the lack of a delete/remove file operation and any high-level management of backend/routing configuration beyond health checks and analytics.