Behavior hints for clients (MCP 2025-03-26); hints, not guarantees.
Human-readable description of what the tool does.
Unique tool name.
Display name for clients (MCP 2025-06-18).
Execute review-feedback tool to analyze collected transformation feedback
This method loads feedback sessions from configured storage locations (project, platform, or both), filters and aggregates the feedback, detects patterns (success/failure/quality), excludes outliers, and returns actionable insights for AI learning and improvement.
Tool input arguments conforming to ReviewFeedbackInput interface
Optional specific session ID to analyze (default: all sessions)
Optional filter by rule category (e.g., 'standalone', 'solid')
Optional ISO 8601 date filter for recent feedback
Type of analysis: 'success-patterns', 'failure-patterns', 'quality-trends', or 'all'
Minimum confidence threshold 0.0-1.0 (default: 0.7)
Minimum completeness threshold 0-100 (default: 70)
Storage location strategy: 'project', 'platform', or 'both' (default: 'both')
ReviewFeedbackOutput containing:
// Analyze all sessions from both locations
const result = await tool.execute({
analysisType: 'all',
minConfidence: 0.8,
minCompleteness: 80
});
// Analyze recent standalone migrations
const result = await tool.execute({
analysisType: 'success-patterns',
category: 'standalone',
since: '2025-12-01T00:00:00Z',
source: 'project'
});
MCP tool for reviewing collected feedback and extracting insights for AI learning. Reads feedback from the user's project (
<projectRoot>/.claude-feedback).Remarks
Pattern Analysis:
Location Support: