DELPHAI exposes 8 tools via HTTP/Flask but lacks critical definition quality. Tool names are weak (council, learn, health, brief, download, assess, coach, burnout_assess), most do not start with action verbs and several are ambiguous. Descriptions exist but are verbose and lack LLM-optimized structure. Input schemas are present but incomplete: many parameters lack type constraints, enums are missing, and output schemas are undocumented. No error handling guidance, no parameter validation rules, and no security annotations. The server is functional but would not pass code review for production agent use.

• Rename tools to follow verb_noun pattern: 'run_council_debate', 'fetch_learn_modules', 'generate_certification_brief', 'run_assessment', 'generate_coaching_plan', 'assess_burnout_risk'. This enables LLMs to infer intent from names.
• Add enum constraints to all categorical parameters. Define valid cert codes (SC-200, AZ-500, SC-300, SC-900, SC-400, SC-100) as an enum. Restrict content_type to ['text/plain;charset=utf-8', 'text/html', 'text/calendar']. Add min/max bounds to numeric params (weeks: 1-52, required: 1-100).
• Document output schemas for every tool. Specify return type (object/array), required fields, and field types. E.g., council returns {model: string, live: boolean, turns: [{agent: string, role: string, kind: string, headline: string, lines: [string]}], result: {final: boolean, decision: string, ...}}.
• Add error handling guidance. Return structured error responses with code, message, and recovery hint. E.g., {error: 'INVALID_CERT', message: 'Certification code SC-999 not found', recovery: 'Valid codes: SC-200, AZ-500, SC-300, SC-900, SC-400, SC-100'}.
• Validate inputs early and return clear error messages. For 'candidates' parameter, validate comma-separated format and ID pattern (e.g., L-\d{4}). For 'weeks', enforce 1 ≤ weeks ≤ 52. Return actionable errors instead of 500 responses.