Single tool 'execute_skill_action' has critical definition gaps. Description is vague (79 chars, below 100-char minimum for clarity) and does not explain WHAT the tool does, WHEN to use it, or WHAT it returns. Input schema exists but parameter 'query_payload' lacks actionable guidance on format, constraints, or expected content. No output schema documented. Tool name uses generic verb 'execute' rather than domain-specific action. No error handling guidance. Fails 6 of 7 definition quality dimensions.

• Rename tool to reflect actual domain operation: 'slice_pointcloud_voxels' or 'compute_occupancy_grid' instead of generic 'execute_skill_action'. Verb_noun naming lets LLMs infer intent from the name alone.
• Expand description to 100-200 chars explaining: (1) WHAT it does (e.g., 'Slices a 3D point cloud into voxels and computes occupancy grid for obstacle detection'), (2) WHEN to use it (e.g., 'Call this after loading LiDAR data'), (3) WHAT it returns (e.g., 'Occupancy grid with voxel counts and clearance distances').
• Document 'query_payload' parameter with explicit format guidance: 'JSON string containing {frame_id, point_count, voxel_size_m, ground_plane_height_m}. Example: {"frame_id": "lidar_front_link", "point_count": 24500, "voxel_size_m": 0.05}'.
• Add output schema documenting all response fields: slice_run_id (string), frame_id (string), raw_points_processed (integer), occupied_voxels_count (integer), traversable_ground_voxels (integer), minimum_clearance_distance_m (float), occupancy_grid_2_5d_url (string).
• Add error handling: document failure modes (invalid payload format, point cloud too small, voxel size out of range) and recovery guidance (e.g., 'If voxel_size_m is invalid, try 0.05 - 0.20 meters').