This is an educational repository with 8 tools across multiple example implementations. Tools have basic schemas and descriptions, but lack depth in parameter documentation and error handling guidance. Most tools are simple read-only operations with minimal complexity. Naming is generally clear (calculator, word_count, todo_builder, search_knowledge_base, get_user_profile, lookup_mock_evidence), but descriptions are brief (10-120 chars) and several parameters lack descriptions entirely. No tool annotations (readOnlyHint, destructiveHint, idempotentHint) are present. Error handling is minimal, tools raise ToolError but do not guide recovery. Output schemas are implicit in code but not formally documented for the LLM. This is typical of educational examples rather than production-grade tools.

• Add readOnlyHint: true to all tool schemas to signal to LLMs that these tools are safe to retry and have no side effects.
• Expand parameter descriptions to 50-100 characters. E.g. 'text' in echo should be 'The text string to analyze and return with its character length.'
• Document output schemas explicitly in tool descriptions. E.g. 'Returns {word_count: int, character_count: int, character_count_no_spaces: int}' for word_count.
• Enhance error messages with recovery hints. E.g. 'Expression too long (max 120 chars). Simplify the expression or break it into smaller parts.' instead of just 'Expression is empty or too long.'
• Rename 'echo' to a verb-noun pair like 'analyze_text_length' or 'echo_text_with_metrics' to clarify intent and improve LLM tool selection.