Project: workspace-doctolib · Branch: HEAD · Mode:  · Model: claude-sonnet-4-6

Stats: 1 user messages, 5 tool calls, tools used: ToolSearch, mcp__atlassian__getJiraIssue, Bash.

Conversation

Turn 1 — User

Fetch 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:
- FHIR-2181
- FHIR-2169
- FHIR-2170

Return the full raw content of each ticket so I can understand the title and description pattern used.

Turn 1 — Assistant

Tools used:

- ToolSearch (inputs: query, max_results)

Tool results:

  → result (ok)

I'll fetch all three JIRA tickets in parallel.

Tools used:

- mcp__atlassian__getJiraIssue (inputs: cloudId, issueIdOrKey, responseContentFormat)

Tool results:

  → result (ok): <persisted-output>
Output 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

Preview (first 2KB):
[
  {
    "type": "text",
    "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
…(truncated, 1765 more chars)

Tools used:

- mcp__atlassian__getJiraIssue (inputs: cloudId, issueIdOrKey, responseContentFormat)

Tools used:

- mcp__atlassian__getJiraIssue (inputs: cloudId, issueIdOrKey, responseContentFormat)

Tool results:

  → 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.
Format: JSON array with schema: [{type: string, text: string}]
Use offset and limit parameters to read specific portions of the file, search within it for specific content, and jq to make structured queries.
REQUIREMENTS FOR SUMMARIZATION/ANALYSIS/
…(truncated, 610 more chars)

Tool results:

  → 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.
Format: JSON array with schema: [{type: string, text: string}]
Use offset and limit parameters to read specific portions of the file, search within it for specific content, and jq to make structured queries.
REQUIREMENTS FOR SUMMARIZATION/ANALYSIS
…(truncated, 611 more chars)

The results are large. Let me read the key fields from all three files efficiently.

Tools used:

- Bash: cat /Users/USER/.claude/projects/-Users-clertonra-workspace-doctolib/2bc7acbd-8466-4ba1-9d66-d9dafde8bfa0/tool-results/toolu_017LyoW6uyfQ4uWF3K1KLJUx.json | python3 -c " …

Tool results:

  → result (ok): === FHIR-2181 ===
Key: FHIR-2181
Summary: [NhrDocumentList] Apply filters to mocked data when nhr_document_list_search_mocked is enabled
Status: To be reviewed
Issue Type: Task
Parent: FHIR-2103 - NHR Document List
Labels: []
Components: []
Priority: Medium
Assignee: Nivetha Yadhavan
Reporter: Clerton Araujo
Story 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
…(truncated, 4003 more chars)