All 6 tools have basic descriptions and verb-noun naming (list_, get_). However, critical gaps severely limit production readiness: (1) NO input parameter descriptions exist for any tool, the rubric requires 100% of A+ tool params to have descriptions; (2) input schemas are minimal or empty (list_rows, get_board, get_methodology, get_corrections, get_right_of_reply all have {} input); (3) NO output schemas are documented anywhere, LLMs cannot plan downstream calls or extract structured data; (4) descriptions are terse (10-50 chars) and lack WHEN/WHY context; (5) no error handling guidance; (6) no pagination support despite tools returning lists (list_rows, get_board).

• Add detailed descriptions (150-250 chars) to each tool explaining WHAT it does, WHEN to use it vs similar tools, and WHAT structure it returns. Example: 'List all rows currently on the Honesty Index board. Returns an array of row objects with id, name, status, and metadata. Call this first to discover available entries before fetching individual rows with get_row.'
• Document output schemas for all tools. Specify that list_rows returns {rows: [{id, name, status, ...}], provenance: {generated_at, signed, source}}, and similar for others. This enables LLMs to plan downstream calls.
• Add parameter descriptions to get_row: 'row_id (string, required): The unique identifier of the row to retrieve. Format: alphanumeric, e.g. "row-001". If you only have a row name, call list_rows first to find the ID.'
• Implement pagination for list_rows and get_board: add optional limit (1-100, default 20) and offset (default 0) parameters. Return total_count and next_offset in responses so LLMs can iterate through large datasets without exhausting context.
• Add error handling guidance. Document what errors each tool can return (e.g., 'row_id not found' for get_row) and suggest recovery steps: 'If row not found, call list_rows to verify the ID exists.'