{
  "name": "CareTrace",
  "version": "1.0.0",
  "description": "AI-powered Clinical Timeline Reconstruction. Transforms fragmented patient clinical documents into coherent longitudinal medical histories with FHIR R4 output. Fully local — zero patient data egress.",
  "author": "CareTrace",
  "tools": [
    {
      "name": "extract_medical_entities",
      "description": "Extract structured medical entities (diagnoses, medications, labs, procedures, allergies, encounters) from unstructured clinical text using local AI. Supports SHARP context propagation.",
      "sharp_enabled": true
    },
    {
      "name": "build_fhir_bundle",
      "description": "Convert extracted clinical entities into a valid FHIR R4 Bundle with Patient, Condition, MedicationStatement, Observation, Encounter, and AllergyIntolerance resources.",
      "sharp_enabled": true
    },
    {
      "name": "reconstruct_patient_timeline",
      "description": "CORE TOOL: Reconstruct a complete patient clinical timeline from multiple fragmented documents. Returns chronological timeline, FHIR bundle, risk flags, and physician-ready narrative summary.",
      "sharp_enabled": true
    }
  ],
  "sharp_context": {
    "patient_id": "FHIR patient identifier for context propagation",
    "fhir_base_url": "FHIR server base URL for live resource posting"
  },
  "run_command": "python server.py",
  "transport": "stdio"
}