{
  "id": "workspace-doctolib/glowing-splashing-wozniak-subagent-afd13735",
  "slug": "glowing-splashing-wozniak-subagent-afd13735",
  "title": "Session: glowing-splashing-wozniak-subagent-afd13735 — 2026-04-15",
  "type": "source",
  "project": "workspace-doctolib",
  "date": "2026-04-15",
  "started": "2026-04-15T10:35:16.007000+00:00",
  "ended": "2026-04-15T10:35:33.949000+00:00",
  "model": "claude-sonnet-4-6",
  "cwd": "/Users/USER/workspace/doctolib/treatment-plan",
  "git_branch": "HEAD",
  "permission_mode": "",
  "user_messages": 1,
  "tool_calls": 5,
  "tools_used": [
    "ToolSearch",
    "mcp__atlassian__getJiraIssue",
    "Bash"
  ],
  "is_subagent": true,
  "wikilinks_out": [],
  "body_text": "Project: workspace-doctolib · Branch: HEAD · Mode:  · Model: claude-sonnet-4-6\n\nStats: 1 user messages, 5 tool calls, tools used: ToolSearch, mcp__atlassian__getJiraIssue, Bash.\n\nConversation\n\nTurn 1 — User\n\nFetch the content of these three JIRA tickets and return their full details — title, description, parent task, labels, components, and any structured fields. Use the mcp__atlassian__getJiraIssue tool for each:\n- FHIR-2181\n- FHIR-2169\n- FHIR-2170\n\nReturn the full raw content of each ticket so I can understand the title and description pattern used.\n\nTurn 1 — Assistant\n\nTools used:\n\n- ToolSearch (inputs: query, max_results)\n\nTool results:\n\n  → result (ok)\n\nI'll fetch all three JIRA tickets in parallel.\n\nTools used:\n\n- mcp__atlassian__getJiraIssue (inputs: cloudId, issueIdOrKey, responseContentFormat)\n\nTool results:\n\n  → result (ok): <persisted-output>\nOutput too large (85.5KB). Full output saved to: /Users/USER/.claude/projects/-Users-clertonra-workspace-doctolib/2bc7acbd-8466-4ba1-9d66-d9dafde8bfa0/tool-results/toolu_017LyoW6uyfQ4uWF3K1KLJUx.json\n\nPreview (first 2KB):\n[\n  {\n    \"type\": \"text\",\n    \"text\": \"{\\n  \\\"expand\\\": \\\"renderedFields,names,schema,operations,editmeta,changelog,versionedRepresentations,customfield_31203.cmdb.label,customfield_31203.cmdb.objectKey,customfield_31203.cmdb.attributes,customfield_32775.cmdb\n…(truncated, 1765 more chars)\n\nTools used:\n\n- mcp__atlassian__getJiraIssue (inputs: cloudId, issueIdOrKey, responseContentFormat)\n\nTools used:\n\n- mcp__atlassian__getJiraIssue (inputs: cloudId, issueIdOrKey, responseContentFormat)\n\nTool results:\n\n  → result (ok): Error: result (99,496 characters) exceeds maximum allowed tokens. Output has been saved to /Users/USER/.claude/projects/-Users-clertonra-workspace-doctolib/2bc7acbd-8466-4ba1-9d66-d9dafde8bfa0/tool-results/mcp-atlassian-getJiraIssue-1776249325580.txt.\nFormat: JSON array with schema: [{type: string, text: string}]\nUse offset and limit parameters to read specific portions of the file, search within it for specific content, and jq to make structured queries.\nREQUIREMENTS FOR SUMMARIZATION/ANALYSIS/\n…(truncated, 610 more chars)\n\nTool results:\n\n  → result (ok): Error: result (103,339 characters) exceeds maximum allowed tokens. Output has been saved to /Users/USER/.claude/projects/-Users-clertonra-workspace-doctolib/2bc7acbd-8466-4ba1-9d66-d9dafde8bfa0/tool-results/mcp-atlassian-getJiraIssue-1776249326186.txt.\nFormat: JSON array with schema: [{type: string, text: string}]\nUse offset and limit parameters to read specific portions of the file, search within it for specific content, and jq to make structured queries.\nREQUIREMENTS FOR SUMMARIZATION/ANALYSIS\n…(truncated, 611 more chars)\n\nThe results are large. Let me read the key fields from all three files efficiently.\n\nTools used:\n\n- Bash: cat /Users/USER/.claude/projects/-Users-clertonra-workspace-doctolib/2bc7acbd-8466-4ba1-9d66-d9dafde8bfa0/tool-results/toolu_017LyoW6uyfQ4uWF3K1KLJUx.json | python3 -c \" …\n\nTool results:\n\n  → result (ok): === FHIR-2181 ===\nKey: FHIR-2181\nSummary: [NhrDocumentList] Apply filters to mocked data when nhr_document_list_search_mocked is enabled\nStatus: To be reviewed\nIssue Type: Task\nParent: FHIR-2103 - NHR Document List\nLabels: []\nComponents: []\nPriority: Medium\nAssignee: Nivetha Yadhavan\nReporter: Clerton Araujo\nStory Points: [{'id': 27545, 'name': 's01e018 - Croque-madame', 'state': 'active', 'boardId': 730, 'goal': '- Document List finished\\n- Can fetch CDA documents\\n- DoctoCrypt is rolled out as\n…(truncated, 4003 more chars)",
  "sha256": "00c536518c422ce9",
  "source_url": "sessions/workspace-doctolib/2026-04-15T10-35-workspace-doctolib-glowing-splashing-wozniak-subagent-afd13735.html"
}