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Documentation for Reply To Review Comments Feature

This PR adds comprehensive documentation for the reply_to_review_comment MCP tool that enables AI agents to participate in threaded code review discussions.

Documentation Overview

Docs.md - The authoritative technical reference for the feature, including:

  • Architecture and Design: Explains the REST API integration, parameter handling, and key design decisions (why REST over GraphQL, int64 comment ID handling, single-reply operations)
  • User Guide: Step-by-step instructions for basic usage (retrieve comments, reply, verify) and advanced scenarios (batch replies, Markdown formatting, deferring feedback)
  • Technical Reference: Complete tool parameters, response format, error handling with specific error codes (404, 403, 422), and GitHub API details
  • Usage Examples: Real-world scenarios for acknowledging fixes, requesting clarification, and deferring work
  • Edge Cases and Limitations: Coverage of deleted comments, closed/merged PRs, resolved threads, archived repos, and tool limitations
  • Testing Guide: Comprehensive 10-step manual testing workflow to verify the feature works correctly
  • Migration and Compatibility: Adoption path for existing users and workflow enhancement examples

README.md - Already updated from Phase 4 auto-generation with tool listing and parameters

Project Documentation Updates

The README.md was automatically updated during Phase 4 (Documentation & Validation) using script/generate-docs. It includes:

  • Tool name and description
  • Complete parameter listing with types and requirements
  • Proper placement alongside other PR/review tools

No CHANGELOG exists in this project, so no CHANGELOG entry was needed.

Key Artifacts

  • Docs.md: .paw/work/reply-to-review-comments/Docs.md
  • Implementation Plan: .paw/work/reply-to-review-comments/ImplementationPlan.md
  • Specification: .paw/work/reply-to-review-comments/Spec.md

Documentation Highlights

The documentation emphasizes:

  • Design rationale: Why specific implementation choices were made (REST vs GraphQL, required PR number, etc.)
  • Practical usage: Working examples showing real agent workflows
  • Error handling: Clear explanations of what each error means and how to resolve it
  • Testing approach: Detailed guide for humans to verify the feature works correctly
  • Migration path: How existing users can adopt the new tool without breaking changes

This documentation serves as the comprehensive reference for engineers working with the reply-to-review-comment feature, with sufficient detail to understand the implementation without reading the code.


🐾 Generated with PAW

- Created detailed Docs.md with architecture, design decisions, and usage
- Includes user guide with basic and advanced usage examples
- Documents error handling, edge cases, and limitations
- Provides comprehensive testing guide for manual verification
- Covers migration path and compatibility notes
- README.md already updated from Phase 4 auto-generation
@lossyrob lossyrob merged commit 44e7f0f into feature/reply-to-review-comments Nov 20, 2025
@lossyrob lossyrob deleted the feature/reply-to-review-comments_docs branch November 20, 2025 03:09

The `reply_to_review_comment` tool enables AI agents to participate in threaded code review discussions by replying directly to individual pull request review comments. This maintains the conversation context at specific code locations, mirroring how human developers respond to inline feedback.

**Problem Solved**: Previously, AI agents could only post general PR comments, which separated responses from the code they referenced. This made review conversations fragmented and difficult to navigate. Agents had to resort to listing all responses in a single comment, losing the threaded context that keeps discussions anchored to specific lines of code.
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