This server has a single tool 'mask_pii' with severe deficiencies across all dimensions. The tool has a hardcoded mock implementation that does not actually mask PII, lacks meaningful descriptions, and exposes a minimal schema with no parameter documentation. The codebase shows no evidence of a functional MCP server framework, no transport layer, no server initialization, no tool registration mechanism visible. The tool appears to be a Python class method stub rather than a properly registered MCP tool.

• Add a comprehensive tool description to 'mask_pii': 'Mask personally identifiable information (PII) in text by replacing names, emails, phone numbers, SSNs, and other sensitive data with safe placeholders. Accepts any text string and returns the masked version with PII redacted. Use this before sharing user data to comply with privacy policies.'
• Add a description to the 'text' parameter: 'The input text string containing potential PII to be masked. Plain text only, no HTML or structured formats. Max length 10000 characters.'
• Document the output schema explicitly: {"type": "object", "properties": {"masked_text": {"type": "string", "description": "The input text with all detected PII replaced with safe placeholders like [NAME], [EMAIL], [PHONE], [SSN], [ADDRESS]."}, "pii_found": {"type": "array", "items": {"type": "string"}, "description": "List of PII types detected and masked (e.g., ['EMAIL', 'SSN', 'NAME'])."}, "mask_count": {"type": "integer", "description": "Total number of PII items masked."}}}
• Implement actual PII detection and masking logic. Replace the hardcoded mock return with real regex/NLP-based detection for emails, phone numbers, SSNs, names, and addresses. Use a library like 'presidio' or write custom patterns.
• Add optional parameters to control masking behavior: 'pii_types' (enum: ssn, email, phone, name, address, credit_card; default: all), 'mask_style' (enum: redact=[REDACTED], placeholder=[TYPE], hash=hash, select_keep_first_3=***, ; default: placeholder).
• Add input validation and error handling: validate that 'text' is non-null, non-empty, and under max length; return structured errors like {"error": "Text exceeds max length 10000", "max_length": 10000, "provided_length": 12500}.