Server has 6 tools with basic schemas and minimal descriptions. All tools accept a single string parameter (ticker/keyword) with type and description present. However, 4 of 6 tools lack any description at all (get_ticker_info, get_ticker_news, income_statement lack docstrings). Descriptions that exist are brief (10-60 chars) and lack context on when to use each tool or what distinguishes them. Output schemas are not documented, tools return JSON strings but the structure is not formally specified. No error handling guidance, no parameter constraints (e.g., valid ticker formats), and no recovery paths. Tool naming is reasonable (verb_noun pattern) but several tools are redundant: search_news and get_ticker_news both fetch news; search_quote and analyze_ticker both return price data. No pagination, no rate limiting, no input validation visible.

• Add docstrings to all 6 tools. Each description should state: (1) what the tool does, (2) when to use it vs similar tools, (3) what it returns. Target 50-200 characters per pattern:tool-description.
• Document output schemas formally. For each tool, specify the JSON structure returned (e.g., search_news returns [{title: string, publisher: string, link: string, providerPublishTime: int}]). Use JSON Schema or a structured format.
• Consolidate redundant tools: merge search_news + get_ticker_news into get_ticker_news; merge search_quote + analyze_ticker into analyze_ticker with a 'detail_level' parameter (basic|full).
• Add input validation and error handling. Validate ticker format (2-5 uppercase letters), catch yfinance exceptions, and return actionable errors: 'Invalid ticker: INVALID. Try search_tickers("apple") to find valid symbols.'
• Fix income_statement to return structured JSON instead of string representation. Parse quarterly_income_stmt DataFrame and return a clean object with key metrics (revenue, net_income, etc.) as numbers, not raw DataFrame output.

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

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