Single tool 'redact_pdf' has a basic schema and description but lacks critical production-grade quality. Description is only 26 chars ('Redacts PDF with AI retry'), below the 50-200 char LLM-optimized baseline. Input parameters lack descriptions entirely, 'pdf_base64' and 'retry_with_ai' have no guidance on format, constraints, or usage. Output schema is present but not documented in the tool definition itself. No error handling guidance, no recovery paths, no validation rules. Tool name lacks clarity on what 'redact' means (PII removal? Sensitive data masking?). No mention of prerequisites (OpenAI API key for AI retry), dependencies, or when to use AI vs. regex-based redaction. The implementation shows dummy responses ('Redacted dummy content') suggesting incomplete development.

• Expand tool description to 80-150 chars: 'Redacts personally identifiable information (PII) from PDF documents using regex patterns and NER. Optionally triggers AI-powered retry for missed entities. Returns redacted PDF and summary of redacted items.'
• Add parameter descriptions: pdf_base64 → 'Base64-encoded PDF content (max 50MB). Must be valid PDF format.'; retry_with_ai → 'If true, uses GPT-4 to identify and redact additional PII missed by regex/NER patterns. Requires OPENAI_API_KEY environment variable.'
• Document output schema in tool definition: redacted_pdf_base64 (base64 string), summary (string listing redacted counts by type), ai_retry_triggered (boolean), errors (array of strings if partial failure).
• Add error handling: return structured errors like '{"error": "Invalid PDF", "recovery": "Ensure input is valid PDF format"}' and '{"error": "OpenAI API unavailable", "recovery": "Retry with retry_with_ai=false or check API key."}'
• Implement actual tool execution: wire tools/redact_pdf.py and tools/retry_with_ai.py into the tool/execute handler instead of returning dummy responses.

Inferred effective spec: <=2025-11-25.

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