The server provides well-named tools with clear, action-verb prefixes and comprehensive descriptions. All four tools have documented schemas with typed parameters. However, several tools lack critical information: output schemas are not formally documented, parameter descriptions sometimes lack constraint details (ranges, formats), and error handling guidance is minimal. The tools follow a sensible composition pattern (read-only, focused responsibilities), but descriptions could better explain WHEN to use each tool vs alternatives. Average tool description length is ~180 chars, which is within baseline (194 chars p50), but some parameter descriptions are thin. No tool exposes secrets, which is correct. Tools are idempotent and chain-friendly (read_file → transform_data is a natural flow).

• Document output schemas for all tools. Define the exact fields, types, and nullability of each response. Example for fetch_url: {status: number, content_type: string, body: string, truncated: boolean, url: string, fetched_at: string}.
• Add JSON Schema minValue/maxValue constraints to numeric parameters instead of relying on description prose. Example: timeout_ms: {type: 'number', minimum: 100, maximum: 30000}.
• Add error recovery guidance to each tool description. Clarify which errors are retryable (network timeout) vs permanent (invalid path), and suggest next steps. Example: 'If path not found, call list_directory() on parent to verify it exists.'
• Document parameter relationships explicitly. For transform_data, specify: 'pretty applies only to JSON output. include_header applies to CSV/TSV output. delimiter is used only during CSV/TSV parsing.'
• Add a 'Limitations' section to descriptions. Example for list_directory: 'Results are capped at max_entries (default 10000). For very large directories, use pagination via recursive=false with subdirectory iteration.'
• For fetch_url, add explicit guidance on binary rejection: 'Binary formats (images, PDFs, archives) are detected by Content-Type and rejected. If the response body appears empty, check the Content-Type header in the error message.'
• For read_file, clarify encoding edge cases: 'If encoding=utf8 is used on binary files, the call will fail with a decoding error. Use encoding=base64 for any non-text file.'
• For transform_data, document input size and complexity limits: 'Very large CSVs (>10 MB) may fail or produce truncated output. Test with smaller samples first if size is uncertain.'

Inferred effective spec: <=2025-11-25.

• Relies on Logging (deprecated) - log to stderr or use OpenTelemetry