Server has 7 well-named tools with consistent verb_noun patterns (list_, read_, search_, get_). All tools have descriptions (avg 95 chars, within baseline 34-392). Input schemas are present with types and descriptions for all parameters. However, output schemas are not formally documented, responses are inferred from code. Parameter descriptions lack constraint details (e.g., date format YYYYMMDD is stated but not enforced; status_code range unbounded). Error handling is minimal, no recovery guidance or actionable error messages. No tool annotations (readOnlyHint, etc.). Composition is sound: tools are single-purpose and chainable. Security: no secrets exposed as params (uses get_client() internally). Overall: solid foundation but lacks LLM-optimization depth in descriptions and output documentation.

• Add JSON Schema output documentation to each tool's docstring. Example: 'Returns: {"entries": [{"timestamp": str, "status": int, ...}], "count": int, "truncated": bool}'
• Add regex pattern and min/max constraints to parameters. E.g., date: pattern='^\d{8}$', limit: minimum=1, maximum=100, status_code: minimum=100, maximum=599.
• Wrap tool implementations in try-except blocks that return structured error responses with actionable guidance. E.g., 'Date not found. Available dates: [list]. Try list_log_dates() first.'
• Add readOnlyHint: true to all tool schemas to signal to MCP clients that these tools are safe to cache and parallelize.
• Enhance descriptions to 80-150 chars with clear intent and differentiation. E.g., 'Search logs by date, status, script name, or text. Use this to find specific errors or patterns. Returns matching entries sorted by timestamp.'
• Add parameter descriptions for 'environment' and 'limit' to explain valid values and defaults more explicitly in the schema itself, not just docstrings.