CodeAtlas provides 31 tools with consistent naming (verb_noun pattern) and comprehensive input schemas. All tools are READ_ONLY with proper parameter types and descriptions. However, tool descriptions are brief (avg ~80 chars, below the 194-char baseline), lacking context on WHEN to use each tool and dependencies between them. Output schemas are not documented in visible code. Error handling and recovery guidance are absent. Tool composition is strong (each does one thing), but descriptions need expansion to meet LLM-optimization standards.

• Expand all tool descriptions to 100-200 characters. Include: (1) what the tool does, (2) when to use it vs similar tools, (3) what it returns. Example: 'codeatlas_trace: Trace execution paths from a starting node up to max_depth. Use this to understand how a feature flows through the codebase. Returns nodes and edges in dependency order.'
• Document output schemas for all tools. Add a 'Returns' section to each description or create a schema registry. Example: 'Returns: {nodes: [{id, kind, name, evidence}], edges: [{source, target, type}], total_count, next_cursor}'
• Add error recovery guidance to descriptions. Example: 'If node not found, try codeatlas_search() with a partial name. Returns: error code + available alternatives.'
• Rename generic tools to use verb_noun pattern: 'symbol' → 'get_symbol', 'domain' → 'get_domain', 'impact' → 'analyze_impact', 'flow' → 'trace_flow'. This improves LLM intent inference.
• Clarify tool distinctions in descriptions. Explain when to use 'codeatlas_trace' (depth-first from start) vs 'trace_path' (shortest path start→end) vs 'flow' (data/control flow). Add examples of each.