This MCP server has critical definition quality gaps across nearly all dimensions. Tools lack proper input schemas with type information, descriptions are minimal or absent, and there is no documented output structure. The codebase shows tool definitions are inferred from agent code rather than explicitly registered via MCP mechanisms. Tool descriptions are generic and do not follow LLM-optimized patterns. Parameters lack type constraints, enums, and validation guidance. No error recovery guidance is present. The server appears to mix MCP transport (STDIO) with a separate A2A Agent framework, creating confusion about the actual tool surface. Evidence: (1) execute_sql_query and query_data both claim 'Execute SQL queries safely' but are listed as different risk levels, naming and responsibility are unclear. (2) No input schemas visible for any tool, only tool names and descriptions inferred from the description field. (3) descriptions are under 60 characters for most tools, failing to explain WHEN to use each tool or WHAT the agent should expect in return. (4) mask_text references 'Google Cloud DLP' but no documentation of required setup, credentials, or when to call it. (5) evaluator tool has no parameter description for 'text', LLMs cannot infer what security threats it detects or how it differs from other validation tools.

• Consolidate execute_sql_query and query_data into a single tool. If both are necessary, rename one clearly (e.g., query_data_read_only) and document the exact difference in descriptions.
• Add explicit JSON Schema definitions for every tool input. For execute_sql_query and query_data, define sql as a string with maxLength, pattern (e.g., no DROP/DELETE), and examples of valid queries.
• Expand tool descriptions to 100-200 characters. Example: 'query_data: Execute SELECT queries against the salaries database. Use this to fetch employee records, salary ranges, and aggregates. Returns structured rows as JSON. Does not support INSERT, UPDATE, or DELETE.'
• Add parameter descriptions. For 'sql' param: 'A SELECT query to execute. Only SELECT statements allowed. Max 1000 chars. Queries timeout after 30s. Use prepared parameters (@param) to prevent SQL injection.'
• Document return schemas. For list_database_tables: 'Returns {tables: [{name: string, row_count: number, columns: [{name: string, type: string}]}]}'
• Add error handling guidance in descriptions. For execute_sql_query: 'On syntax error, returns {error: string}. On timeout, returns {error: "timeout", recovery: "Simplify query or add LIMIT."}'
• Add security guidance. For execute_sql_query: 'This tool sanitizes inputs and uses parameterized queries. Queries are logged for audit. Only SELECT queries are executed; write operations are rejected with a clear error.'
• For mask_text, add setup documentation: 'Requires Google Cloud DLP credentials in environment (GCP_PROJECT_ID, GOOGLE_APPLICATION_CREDENTIALS). Masks PII, PHI, and financial data. Returns {original: string, masked: string, detectedTypes: [string]}'