Single tool 'clinical_diagnosis' has a reasonable description (~180 chars), but lacks critical schema documentation, parameter validation guidance, and error handling patterns. The input schema is minimal (only 'clinical_text: string'), with no constraints, ranges, or format guidance. No output schema is documented. Tool definition is directly visible in source but quality gaps are substantial. This server implements blocking clinical NLP operations with no retry or timeout guidance, and exposes medical data without output field documentation.

• Document output schema explicitly: { symptoms: [{canonical_name, display_name, severity, onset, uncertain, negated, historical, experiencer}, ...], diagnosis: string, treatment: string, articles: [{title, authors, publication_date, article_url, pmid}, ...], warnings: [string] }
• Add input constraints: 'clinical_text' must be 50 - 50,000 characters, UTF-8 encoded medical note or patient-reported symptoms. Examples: clinical case, patient interview, physician note.
• Rename tool to 'analyze_clinical_note' (verb_noun) to align with production baselines.
• Add explicit error cases in description: 'Returns error if no symptoms detected, API timeout >30s, or OpenAI/PubMed service unavailable. Retryable: timeouts and rate limits. Non-retryable: malformed input, missing API credentials.'
• Wrap external API calls (OpenAI, PubMed) with explicit timeout guards (e.g. 30s per call) and return structured errors: {error: 'openai_timeout', message: '...', retry_after_seconds: 30}
• Document that 'negated', 'historical', 'experiencer' fields filter out non-active symptoms and guide diagnosis reasoning.
• Add security note: tool processes sensitive PHI (personally identifiable health information); ensure clinical_text is de-identified before passing to external LLM or PubMed.
• Return a success indicator and confidence score alongside diagnosis (e.g. confidence: 0.0 - 1.0, based on symptom match strength).