Three tools with consistent structure and clear descriptions (avg 180 chars, within baseline 194). All parameters have type definitions and descriptions. However, output schemas are completely undocumented, LLMs cannot predict what fields to expect from results. No error handling guidance (e.g., 'file not found' recovery). Tool names lack action verbs (crack_* is domain-specific but not standard verb_noun pattern). Parameters are well-constrained with defaults and limits, but no enum validation for file types despite claiming support for specific formats.

• Document output schema for all three tools. Specify: extracted_text (string), page_count (integer), current_page (integer), total_chars (integer), has_more (boolean), format_detected (string). This enables LLMs to chain operations and validate results.
• Rename tools to follow verb_noun pattern: 'extract_text_from_file', 'extract_text_from_url', 'extract_text_from_base64'. Alternatively, use 'get_file_text', 'get_url_text', 'get_base64_text' for clarity.
• Add error recovery guidance to descriptions. E.g., 'If extraction fails, the file format may not be supported (PDF, DOCX, DOC, PPTX, ODT, TXT only). Try crack_url to download and re-attempt, or provide base64-encoded content via crack_base64.'
• Add file_type enum constraint to parameter descriptions or validate in implementation. Return clear error: 'Unsupported file type: .xyz. Supported: PDF, DOCX, DOC, PPTX, ODT, TXT'.
• Document pagination behavior in output schema. Clarify: if page_size=10000 and document has 25000 chars, does result include has_more=true? What does page=2 return? Include total_chars in response so LLM knows document size.