Three tools with clear verb-noun naming (fetch_transactions, list_teams, list_transaction_types). All have descriptions and input schemas visible in mcp.json. However, descriptions are minimal (10-50 chars), parameter descriptions lack detail on constraints and formats, and output schemas are incomplete. fetch_transactions has good enum constraints on transaction_type and output_format, but lacks guidance on date format validation, pagination, or result limits. Error handling in server.py returns generic Error objects without recovery guidance. No tool annotations (readOnlyHint, idempotentHint) despite all being read-only operations.

• Expand tool descriptions to 50-200 chars. Example: 'Fetches NFL transactions from ProSportsTransactions.com filtered by date range, team, player, and type. Returns up to 50 records; use limit/offset for pagination. Call list_teams() or list_transaction_types() first to discover valid filter values.'
• Add explicit parameter constraints in descriptions: 'start_date: ISO 8601 date (YYYY-MM-DD), must be ≥2000-01-01 and ≤ today. If invalid, returns error with valid range.'
• Document output schema for each output_format variant. Example: 'json/dataframe returns {status, data: [{date, team, acquired, relinquished, notes, transaction_type}], count}. csv returns {status, file_path, count}.'
• Add limit and offset parameters to fetch_transactions with defaults (limit=20, offset=0) and document max limit (e.g., 100). Return total_count in response to enable pagination.
• Replace generic Error returns with structured error responses: '{status: error, code: INVALID_DATE_FORMAT, message: "start_date must be YYYY-MM-DD, got: 2024-13-45", recovery: "Use a valid date between 2000-01-01 and today."}'

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

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