Three tools with basic verb-noun naming (get_*). All have descriptions (10-100 chars, below baseline 194 avg). Input schemas present with type and description for ticker param. However, descriptions are minimal (e.g., 'Return a short mock...' lacks WHEN/WHY context). Output schemas are NOT documented, tools return JSON strings but no structured schema is declared. No error handling guidance. No parameter constraints (e.g., ticker format, days_back bounds). Composition is sound (each tool does one thing), but overall quality is below production baseline.

• Document output schemas for all three tools. E.g., get_earnings_transcript returns {ticker: string, quarter: string, excerpt: string, tone: string, fetched_at: ISO8601}. Include this in tool description or as a separate schema field.
• Expand descriptions to 100-200 chars. Add WHEN/WHY: 'Get earnings call excerpts to identify management guidance on margins, growth, and risks. Use alongside get_recent_filings to spot contradictions between forward guidance and risk disclosures.'
• Add parameter constraints: ticker must match /^[A-Z]{1,5}$/ (stock symbol format); days_back must be 1 - 365. Include these in parameter descriptions.
• Add error handling: catch exceptions in get_news_digest and return structured error with recovery hint, e.g., {error: 'You.com API timeout', retry: true, fallback: 'Using mock data'}.
• Clarify mock vs. live data in get_news_digest response. Add a 'data_source' field ('mock', 'you.com', 'mock_after_error') so LLM knows confidence level.