ROT provides 7 well-named tools with clear, domain-specific descriptions and documented input schemas. Naming follows verb_noun convention (get_*, search_*) consistently. Descriptions are between 80-180 characters and explain what, when, and why. Input schemas declare types and defaults for all parameters. However, output schemas are not documented in the source, descriptions mention what's returned but the actual response structure (fields, types, pagination) is not formally specified. Parameters largely lack constraints (no enums for 'stance' despite describing a closed set; 'hours' lacks explicit min/max despite mentioning 1-168). Error handling is completely absent from the tool definitions, no guidance on what happens if a ticker is invalid, if the API times out, or how to recover. The server implements a thin HTTP wrapper around a backend API but does not validate inputs, sanitize, or provide error context to the LLM. All tools are READ_ONLY, reducing risk, but the absence of pagination documentation and output schemas significantly hampers LLM ability to chain tools and plan multi-step workflows.

• Add formal output schemas to each tool. Include field names, types (string, number, boolean, array of objects), and what each field represents. Example: get_signals should document that it returns {signals: [{ticker: string, stance: 'bullish'|'bearish'|'mixed'|'unknown', confidence: number (0-100), event_type: string, strategy_recommendation: string, source: string, timestamp: string (ISO 8601)}, ...], total: number, next_cursor?: string}.
• Declare parameter constraints as JSON Schema enums/minimum/maximum rather than free-form text. Example: stance as enum ['bullish', 'bearish', 'mixed', 'unknown'], hours as {type: 'integer', minimum: 1, maximum: 168}, limit as {type: 'integer', minimum: 1, maximum: 100}.
• Add input validation logic to rot_mcp_server.py tools. Before calling _get(), validate that hours, limit, and league (where applicable) fall within declared ranges. Return actionable error messages: 'Invalid hours: got -5, must be 1-168'.
• Implement error handling for HTTP failures. Wrap _get() calls in try/except to catch httpx.TimeoutException, httpx.ConnectError, httpx.HTTPStatusError. Return structured errors: {'error': 'API timeout', 'retryable': true, 'guidance': 'Try again in 30 seconds'} instead of raw tracebacks.
• Document pagination. If the backend supports offset/next_cursor, add those to tool responses and describe in the tool description how to fetch subsequent pages. If the backend returns truncated results, cap at the documented limit and return total_count so the LLM knows more exists.