DataSentinel defines 8 tools with clear, domain-specific names (list_datasets, profile_dataset, check_missing, etc.) that follow verb_noun conventions. All tools have descriptions (avg ~100 chars, within baseline 34-392 range). Input schemas are present and typed. However, parameter descriptions are sparse or missing for several tools (e.g., list_datasets has empty input {}), and output schemas are not documented. Error handling returns structured {error, message} but lacks recovery guidance. No tool annotations (readOnlyHint, etc.) despite all being READ_ONLY. Resource support is present but minimal.

• Add output schema documentation to every tool. Example for profile_dataset: 'Returns {rows: int, columns: int, dtypes: {col: type}, memory_mb: float}'. Enables LLM planning.
• Add readOnlyHint annotation to all 8 tools in FastMCP registration. Signals to clients that these are safe, non-destructive operations.
• Enhance error messages with recovery guidance. E.g., catch FileNotFoundError and return {error: 'FileNotFoundError', message: 'Dataset not found. Call list_datasets() to see available files.'}
• Document parameter constraints in descriptions. E.g., warn_pct: 'Warning threshold (0-100, default 5). Columns with null% >= this value are flagged.'
• Migrate from STDIO to HTTP+SSE or Streamable HTTP transport to enable remote client access and improve protocol readiness score.