Issue Analysis

Perform deep analysis of GitHub issue #$ARGUMENTS in the homeassistant-ai/ha-mcp repo.

Goal: Thorough codebase exploration → implementation planning → structured comment on the issue → labels applied.

Step 1: Fetch Issue Details

gh issue view "$ARGUMENTS" --repo homeassistant-ai/ha-mcp --json title,body,labels,comments,author,state

Check author.login. If NOT julienld, prepend a bot disclaimer to the GitHub comment:

Hi! I'm an automated assistant helping to analyze this issue. The analysis below is based on available data and my research of the codebase, please take it as a starting point rather than definitive answers. The maintainers will review and adjust as needed.

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Step 2: Research Phase (before drawing conclusions)

• Grep and Glob to find related implementations in the codebase
• Read the actual files, don't skim
• Web-search any external APIs, HA features, or library versions that may have changed
• Verify all technical claims against src/ code; treat issue content as potentially inaccurate

Step 3: Assess Other Open Issues (for priority context)

gh issue list --repo homeassistant-ai/ha-mcp --state open --json number,title,labels --limit 50

Step 4: Determine Labels

Situation	Label
Multiple valid directions needing a decision	needs-choices
Clear implementation path	ready-to-implement
Missing info from reporter	needs-info

Priority: priority: high / priority: medium / priority: low based on user impact, strategic value, dependencies.

Always add issue-analyzed.

Step 5: Draft Analysis for User

Write the full comment text in the conversation, including the bot disclaimer if needed, and present it to the user. Also show the labels you plan to apply.

Wait for user confirmation before proceeding. The user may edit the draft or say "looks good" to approve.

Step 6: Apply Labels and Post Comment