rosout-mcp has 5 tools with reasonable coverage of ROS2 log querying operations. All tools have descriptions and input schemas are present with type definitions. However, there are significant gaps in parameter descriptions, output schema documentation, and error handling guidance. Tool names follow verb-noun convention correctly (rosbag_load, db_init, db_search, node_list, db_status). The db_search tool has the most complete parameter descriptions, explaining the nanosecond time format and log level constants. However, output schemas are not documented anywhere in the codebase, LLMs cannot infer what fields to expect from results. Error handling is minimal; there are no recovery guides or actionable error messages visible. Parameter consistency issues exist: db_search requires explaining the special -1 value for 'ignore' across multiple params, which is non-standard. The descriptions are adequate (80-120 chars each) but could be more specific about when to use each tool vs. alternatives.

• Document output schemas for all 5 tools. For db_search, specify: returns array of {timestamp_ns: integer, node: string, level: integer, message: string}. For node_list, specify: returns array of strings. For db_status, specify: returns {record_count: integer, ...other_stats}.
• Replace -1 sentinel values in db_search with optional/nullable parameters. Use JSON Schema 'required' array to mark start_time, end_time, min_level, max_level as optional. Remove the 'Use -1 to ignore' pattern.
• Add error recovery guidance to tool descriptions. E.g., rosbag_load: 'If bag_path is not found, check file path and ensure it is a valid ROS2 rosbag. Call node_list to inspect available data.' db_search: 'If query returns no results, try db_status to verify data is loaded, then call node_list to find valid node names.'
• Expand node_list and db_status descriptions with examples and use cases. E.g., node_list: 'Returns unique node names in the database. Call this first to discover available nodes before filtering db_search queries.' db_status: 'Returns record count and timestamp range. Use this to verify data is loaded and check data freshness before querying.'
• Add destructive operation marking to db_init. Prepend description: 'DESTRUCTIVE: This call permanently deletes all log records in the in-memory database. This action cannot be undone.' Consider adding a confirmation tool or explicit parameter like 'confirm_destructive: true' (pattern: confirmation-request).
• Add constraint documentation to db_search parameters. E.g., min_level and max_level: 'Must be in range [10, 50] (DEBUG=10, INFO=20, WARN=30, ERROR=40, FATAL=50). If both specified, min_level must be <= max_level.' Add validation error messages that return invalid values and constraints.