The Finance Toolkit MCP server defines 4 discovery/utility tools with reasonable naming conventions and descriptions. All tools follow verb_noun patterns (search_*, list_*) and include helpful descriptions guiding users on when to call them. However, several tools lack detailed input parameter descriptions, output schemas are not explicitly documented, and error handling guidance is minimal. The tools are read-only and composition-aware (search_categories calls mention list_metrics_by_category as a follow-up), but descriptions fall short of LLM-optimization standards. Average tool description length is ~100-150 chars, below the 194-char baseline for A+ tools. Parameter descriptions are present but terse; none of the tools exceed 25 words in parameter documentation.

• Document output schemas for all 4 tools. Example: 'search_categories returns {categories: [{name: string, tool_count: integer}], total: integer}'. This enables LLMs to plan follow-up calls.
• Expand parameter descriptions to 50-100 characters. For search_metrics, specify: 'Free-text keyword search. Supports typo tolerance for tokens ≥4 chars; shorter tokens require exact substring match. Examples: sharpe, debt, moving average.'
• Add error recovery guidance. E.g., 'If no results found, try broader keywords or check category names via search_categories.'
• For search_instruments, clarify precedence: 'Searches by ticker first, then name, ISIN, or CIK. Returns best matches ranked by relevance.'
• Document result limits and pagination if applicable. E.g., 'Returns top 50 matches. Pass offset=50 for next page.'
• Add per-tool examples of valid inputs and expected output format to the description (not just parameter fields).
• Specify which tools are recommended as entry points. E.g., 'Call search_categories first to understand available metrics before search_metrics.'

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

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