Two well-defined read-only tools with clear, actionable descriptions (194 and 156 chars respectively). Both have complete input schemas with type definitions and parameter descriptions. pypi_project includes validation logic, timeout handling, and bounded response parsing. word_stats demonstrates pure computation with input constraints (max 100k chars, top clamped 1-20). Naming is verb-noun style (pypi_project, word_stats) but lacks action verbs (get_, fetch_, analyze_). Output is compact text rather than structured JSON, which reduces downstream composability. No error recovery guidance or output schema documentation. Schemas are present but minimal, no explicit output type declarations.

• Rename tools to start with action verbs: 'get_pypi_project' and 'analyze_word_stats' (or 'compute_word_stats'). This makes intent explicit and helps LLMs disambiguate when many tools are available.
• Return structured JSON instead of plain text. pypi_project should return {"name": "...", "version": "...", "python_requirement": "...", "latency_ms": 123}. word_stats should return {"total_words": 42, "unique_words": 30, "top_words": [{"word": "the", "count": 5}, ...]}. This enables reliable downstream tool chaining.
• Document output schemas in tool docstrings. Add a 'Returns:' section describing field names, types, and semantics. Example: 'Returns a dict with keys: name (str), version (str), python_requirement (str), latency_ms (float).'
• Enhance error messages with recovery hints. When project name validation fails, suggest: 'Invalid project name. Must be 1 - 215 letters, digits, dots, underscores, or hyphens. Try search_pypi(query) to find the correct name.' When PyPI returns 404, suggest: 'Project not found. Check spelling or try search_pypi() for similar names.'
• Add optional 'fields' parameter to pypi_project to let agents request only needed fields (e.g. fields=['version', 'python_requirement']). Reduces token overhead for simple queries.