VibeGraph provides 7 well-structured tools with complete Pydantic input models and clear descriptions. All tools have proper schemas with type definitions, enums, and constraints (e.g., limit 1-500, depth 1-10). Descriptions are concise (20-80 chars) and action-oriented. However, output schemas are not documented, LLMs cannot predict response structure for planning. Error handling is minimal; tools lack recovery guidance. Tool names follow verb_noun convention but are overly prefixed ('vibegraph_*'), reducing clarity. No batch operations or pagination guidance in responses.

• Document output schemas for all tools. Example: 'Returns {nodes: [{id, name, type, line_start, line_end}], total_count, has_more}'. LLMs need this to plan multi-step workflows.
• Add recovery guidance to error messages. E.g., 'File not found in index. Call vibegraph_reindex(path) to rebuild the database, then retry.'
• Shorten tool names: 'get_structural_summary', 'trace_call_stack', 'impact_analysis', 'reindex', 'find_references', 'dependencies', 'search_signatures'. Reduces token overhead and improves clarity.
• Expand vibegraph_impact_analysis description to clarify scope: 'Analyze which functions/classes depend on changes to this file. Returns callers, transitive dependents, and risk surface (number of affected modules).'
• Add explicit pagination guidance: 'Results are limited to 100 nodes by default. Use offset/limit to paginate. If total_count > limit, call again with offset=limit to fetch next page.'