ProContext demonstrates solid definition quality with well-structured tool schemas and clear parameter descriptions. All 4 tools have explicit input/output models with Pydantic validation. Descriptions are present and actionable (60-260 chars). Parameter constraints are explicit (min/max, enums, validation rules). However, tool naming could be more distinct, and output documentation is implicit rather than explicit in tool registration. No tool annotations (readOnlyHint, etc.) despite all tools being read-only. Error handling is validated but recovery guidance is not baked into tool descriptions.

• Add readOnlyHint annotations to all tool definitions: register tools with risk="READ_ONLY" in the MCP tool schema to signal safety to agents.
• Differentiate read_page and read_outline with more explicit names: consider 'read_page_content' vs 'read_page_structure' or 'extract_page_outline' to clarify distinct purposes.
• Document output schemas in tool descriptions. Example: 'Returns: {url, content, outline, total_lines, offset, limit, has_more, next_offset, content_hash}. Use offset/limit for pagination.'
• Enhance error messages with recovery hints in descriptions. E.g., 'query: 3-500 characters (minimum enforced; if too short, broaden search terms)'.
• Expose content_hash in search_page and read_page outputs so agents can detect stale cache and know when to refresh.