Scan Results: https://platform.claude.com/docs

Reduce layout boilerplate (header, footers, scripts) or use Markdown Content Negotiation to strip DOM noise.

Review every code example in my documentation.
For each snippet, ensure it is fully self-contained and executable.

Every code block must include:
1. All import / require statements at the top
2. Package installation command in a comment
3. Authentication initialization if the code makes API calls
4. All variables defined before use — no undefined references
5. Inline comments explaining WHY each step is done, not just what

An AI agent copying this snippet must be able to run it
without searching for any additional information.

Details: Missing installation commands for the 'anthropic' library. The code assumes the package is already installed but does not include 'pip install anthropic' or equivalent

Replace vague variable hints or hardcoded keys with clean, uppercase environment placeholders (e.g. <YOUR_API_KEY> or process.env.YOUR_API_KEY).

Details: API key credential handling is ambiguous. The client is initialized without explicit API key parameters, but no placeholder is provided for the expected 'api_key' parameter which should be passed to Anthropic() constructor

Expose an OpenAPI or Swagger specification at a standard path (e.g. /openapi.json) or link to it using the "Link" HTTP response header with rel="openapi".

Embed a <script type="application/ld+json"> block classifying your docs as a TechArticle, Guide, or APIReference, containing semantically enriched metadata.

Configure and expose an MCP server definition at /.well-known/mcp.json or publish guidelines showing AI agents how to interact with your APIs using MCP tool declarations.

Provide a comprehensive table or section listing error codes, their causes, and solutions. This lets agents cross-reference error stacks and resolve integration errors automatically.