PatchBay defines 31 tools with mixed quality. Strengths: all tools have descriptions (10-200+ chars), tool names follow verb_noun convention (patchbay_*_action), and 6 tools (patchbay_pro_request_*) have detailed input schemas with proper JSON Schema. Weaknesses: 25 of 31 tools lack visible input schemas entirely (capped at schema=0), making them inferred rather than explicitly defined. Descriptions vary widely, some are terse ('Get fleet status', 'List workspaces') while others are rich ('Store ChatGPT Pro's durable answer...'). No output schemas documented. Error handling and recovery guidance absent. Composition is sound (each tool has one responsibility), but parameter documentation is sparse for tools without schemas.

• Add explicit JSON Schema input definitions to all 25 tools lacking them. Minimum: type, description, and required fields. Reference patchbay_pro_request_* tools as examples.
• Expand terse descriptions to 50-200 chars. For each tool, answer: What does it do? When should the LLM call it? What does it return? Example: 'patchbay_fleet_status' → 'Get the current status of all workers in the fleet, including active count, idle count, and any errors. Call this first to assess capacity before starting new workers.'
• Document output schemas for all tools. Specify field names, types, and whether results are paginated. Include pagination parameters (limit, offset/cursor, total_count) for list_* tools.
• Add error handling guidance to tool descriptions. Example: 'If worker not found, returns 404 with available worker IDs. Retry with a valid ID or call patchbay_worker_list to discover options.'
• Implement confirmation or dry-run patterns for destructive operations (close, stop, delete). Example: add a 'confirm=true' parameter or return a confirmation_required status before executing irreversible changes.