TokenNuke has well-structured tool definitions with clear naming (verb_noun pattern) and comprehensive parameter schemas. All 12 tools have descriptions and input schemas with types. However, descriptions are verbose (200-400 chars, above the 50-200 baseline for LLM optimization) and lack actionable guidance on when to use each tool vs. alternatives. Parameter descriptions are present but generic; many lack constraints (e.g., limit ranges, format specs). Output schemas are not documented, LLMs cannot predict response structure. Error handling is absent from tool definitions. The server demonstrates solid foundational quality but lacks the polish and LLM-optimization of A-grade tools.

• Document output schemas for all 12 tools. Include field names, types, and descriptions. Example: search_symbols returns {results: [{qualified_name: string, file_path: string, line_number: integer, ...}], total_count: integer}.
• Shorten and optimize descriptions to 50-150 chars. Add 'when to use' guidance. Example: 'search_symbols: Fast keyword search by name/signature. Use when you know the symbol name. For conceptual searches, use semantic_search instead.'
• Add min/max constraints to numeric parameters. Example: limit (1-100, default 20), depth (1-5, default 2), offset (0+, default 0).
• Implement confirmation pattern for clear_index. Add a 'confirm' boolean parameter (default false) or a separate 'confirm_clear_index' tool that requires explicit confirmation.
• Add error recovery guidance to tool descriptions. Example: 'If indexing fails, check that repo_path is a valid directory and you have read permissions. Call get_repo_stats to verify the index exists.'

Inferred effective spec: 2026-07-28+.

• Relies on Logging (deprecated) - log to stderr or use OpenTelemetry