Single tool with clear naming and adequate schema, but missing critical output documentation, parameter descriptions, and error handling guidance. The tool definition itself is visible and properly registered, but falls short of production-grade quality on several dimensions.

• Define output schema explicitly. Return structured JSON with fields: {token_count: number, word_count: number, char_count: number, files_processed: number, tokenizer_used: string}. Document this in the tool registration.
• Convert 'tokenizer' parameter to an enum: ['tiktoken', 'anthropic', 'mistral', 'words', 'chars'] to prevent hallucinated values.
• Enhance tool description to explain WHEN to use each tokenizer. Example: 'Use tiktoken (default, free, fast) for OpenAI models; anthropic (paid, accurate) for Anthropic models. Mistral and word/char counts are for reference only.'
• Add constraints to 'path' parameter description: 'Absolute or relative filesystem path. Directories are recursively scanned unless file_pattern limits matches.'
• Implement structured error responses. For file not found: return {error: 'path_not_found', path: '<input>', suggestion: 'Verify path exists and is readable'}. For permission errors: {error: 'permission_denied', path: '<input>', suggestion: 'Check file permissions or run with elevated privileges'}.
• Document the Anthropic API dependency: 'Note: The anthropic tokenizer requires ANTHROPIC_API_KEY environment variable and incurs API costs. Use tiktoken for cost-free operation.'
• Add pagination or result limits if directories contain thousands of files. Current code concatenates all content without bounds, risking context window exhaustion.