Sanjaya provides 10 well-named, verb-prefixed tools with clear descriptions (avg 120 chars) and documented input schemas. All tools are READ_ONLY except index_codebase (DESTRUCTIVE), which is properly flagged. However, several parameters lack descriptions, output schemas are not formally documented, and error handling guidance is minimal. Tool composition is sound (each does one thing), but parameter constraints (enums, ranges) are sparse. Naming follows verb_noun convention well (search_text, find_definition, get_source). No security issues detected (no secrets in params). Descriptions are adequate but could be more LLM-optimized with dependency hints and recovery guidance.

• Document output schemas for all tools. For search_code, specify: returns array of {chunkId, name, kind, container, path, lineNumber, snippet}. For find_definition, specify: returns array of {chunkId, name, kind, container, path, ambiguous}. This enables LLMs to plan downstream calls.
• Add parameter constraints to JSON Schema. Use minValue/maxValue for maxResults (1-200), minValue for limit (1-50). Use enum for caseSensitive (true|false). Formal constraints prevent invalid LLM inputs.
• Enhance descriptions with recovery guidance. E.g. search_text: 'If no results, try search_code for semantic matching. If file not found, call file_outline with a parent directory to explore structure.'
• Add dependency hints to tool descriptions. E.g. find_definition: 'Use search_code first to locate a name, then call this to resolve exact declarations. Returns ambiguous=true if multiple matches exist.'
• Document what 'recent' means in recent_changes. Clarify: 'limit: number of recent commits (1-50, default 10). Commits are ordered newest-first. includeWorkingTree: if true, also returns staged, unstaged, conflicted, and untracked file paths.'