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@viborc viborc commented May 9, 2025

This AI agent introduces a structured framework for critically evaluating technical documentation quality.

The framework:

  • Establishes 6 key evaluation categories: Completeness, Accuracy, Style/Readability, User Experience, Objectivity, and Modern Documentation Features
  • Provides detailed assessment criteria with specific questions for each category
  • Implements a standardized evaluation format with ratings and actionable recommendations
  • Includes guidelines for prioritizing improvement suggestions based on user impact
  • Tailors evaluation approach for different documentation types (feature pages, pricing, guides)

This framework will help maintain consistent documentation quality standards across our technical content and improve overall developer experience.

This AI agent introduces a structured framework for critically evaluating technical documentation quality. 

The framework:

- Establishes 6 key evaluation categories: Completeness, Accuracy, Style/Readability, User Experience, Objectivity, and Modern Documentation Features
- Provides detailed assessment criteria with specific questions for each category
- Implements a standardized evaluation format with ratings and actionable recommendations
- Includes guidelines for prioritizing improvement suggestions based on user impact
- Tailors evaluation approach for different documentation types (feature pages, pricing, guides)

This framework will help maintain consistent documentation quality standards across our technical content and improve overall developer experience.
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Thank you for submitting the "Tech Docs Evaluator" agent. This is a valuable addition to our library that complements our existing Documentation Generator agent by focusing on evaluation rather than creation.

Before we can approve this pull request, please make the following changes:

  1. Fix the syntax error in the tools array (line 7): Add the missing closing quote after "File Search"
  2. Add the .json extension to the filename (rename from "docs-eval" to "docs-eval.json")

The agent's instructions are comprehensive and well-structured, providing clear evaluation criteria and output format expectations. The selected tools are appropriate for the agent's purpose.

Once these minor issues are addressed, we'll be happy to merge this contribution.

@viborc
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viborc commented Jun 5, 2025

Hello @pablo-forgood-ai - thank you for your review. The changes have been made. Please review and check again at your convenience.

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Thank you.

Please correct these tool names:

Semantic Code Search -> (does not exist?)
Full Text Search -> full_text_search
File Search -> file_search
Fetch -> webpage_content
File Editor -> file_edit

Thanks a lot in advance

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2 participants