Repository-Mind exposes 7 tools with significant definition gaps. Tool names lack action verbs (repository_navigator, language_structure, dependency_impact are vague). Descriptions are present but minimal (10-80 chars), offering little guidance on WHEN to use each tool or WHAT distinguishes them. Input schemas exist but are sparse: most tools accept only repo_id, snapshot_id, and optionally question/limit. Output schemas are completely undocumented, no structured response format is visible in the code. Error handling is absent; no recovery guidance or categorization. The code shows internal helper functions (_term, _symbol_term, _hydrated_evidence) but tool registration and response structure are not fully visible in the provided source. This is a domain-specific research tool, not a production-grade agent toolkit.

• Rename tools to start with action verbs: repository_navigator → get_repository_overview; language_structure → search_symbols; dependency_impact → analyze_dependency_impact; test_runtime → locate_test_files; security_review → scan_security_issues.
• Expand descriptions to 100 - 200 chars. Example: 'get_repository_overview: Retrieve the repository overview, reading guide, and entry points. Call this first to understand the codebase structure and navigation paths.' Include WHEN to use and what distinguishes it from similar tools.
• Document output schemas formally. Define the ToolResult structure: {summary: string, evidence: [{chunk_id, file_path, start_line, end_line, reason}], metadata: object}. Specify what fields each tool returns in metadata.
• Add error handling with recovery guidance. Return errors like: {error: 'Symbol not found', suggestion: 'Try search_symbols() with a shorter or more general term', retryable: true}. Categorize errors as retryable, user-fixable, or fatal.
• Enhance parameter descriptions. For 'question' params, specify: 'Natural language query (10 - 500 chars). Examples: "What calls this function?", "Where is the authentication logic?". Avoid generic terms like "what", "does", "which", use specific symbol names or code patterns.'