lynx-mcp
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TDQS
Scored across 16 tools
Tools mostly have distinct purposes, and the descriptions explicitly cross-reference when to use one versus another (e.g., find_usages vs impact vs describe_symbol). Some overlap exists between search, find_similar, and deep_search, but their scopes are clearly differentiated enough for an agent to select correctly.
Most names use snake_case, but the pattern is inconsistent: some are verb_noun (find_definition, list_sources), some are noun phrases (repo_overview, module_summary), and a few are single words (impact, feedback). This mixed style reduces predictability.
16 tools is slightly above the typical 3-15 range, but the breadth is justified by combining code navigation, semantic search, graph queries, and RAG index management. The count feels reasonable rather than bloated.
The toolset covers the full code understanding workflow: overview, definition, usages, tests, impact, similar code, symbol/module summaries, graph export, search variants, and index lifecycle management. No obvious gaps prevent an agent from accomplishing common navigation and search tasks.