This server has 3 tools with mixed quality. All tool names follow the verb_noun pattern (get_*) and are appropriately scoped. However, descriptions vary significantly in quality, two tools have adequate descriptions (60-90 chars), but parameter descriptions are sparse or missing entirely. Input schemas are present but lack property-level descriptions, forcing LLMs to infer parameter meaning. None of the three tools document their output schemas, which is a critical gap for agent planning. Error handling is not visible in the provided code snippets. The server is STDIO-only, which is a hard transport constraint.

• Document the output schema for each tool. Specify what fields are returned (e.g., for get_hsi_data: 'Returns {point: float, daily_change_points: float, daily_change_percent: float, turnover_billions: float, timestamp: string}').
• Add descriptions to all input parameters in the JSON Schema. For 'limit', explain: 'Maximum number of headlines to retrieve. Range 1-20. Default is 10. Lower values are faster; use higher for comprehensive summaries.' For 'symbol_or_company', clarify format: 'Hong Kong stock symbol (5-digit code, e.g., "00005") or company name (e.g., "HSBC"). Symbol is preferred for accuracy.'
• Enhance tool descriptions to guide LLM selection. For get_hsi_data, add: 'Use this to get the overall Hong Kong stock market index value and daily movement. Returns market-wide data. For individual stocks, use get_stock_quote instead.'
• Add error handling guidance to tool descriptions. For get_stock_quote, add: 'If the symbol or company name is not found, returns an error. Use the error message to refine the query, or call get_hsi_data to verify the market is open.'
• Validate 'limit' parameter with explicit min/max constraints in the schema (minimum: 1, maximum: 20), not just in the description.
• Consider adding an output example in the description (separate from parameter descriptions). E.g., 'Returns news headlines with auto-generated summaries in natural language. Summaries are typically 1-3 sentences.'
• If the news API or stock data source can fail (network timeout, rate limit, scraper breakage), document expected error codes and recovery steps (retry delay, alternative data source, etc.).

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

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