LabTether exposes 27 tools with basic naming and minimal descriptions. All tools have input schemas with typed parameters and descriptions, which is positive. However, descriptions are uniformly terse (10-50 chars), well below the 50-200 char baseline for LLM-optimized tools. No output schemas are documented. Error handling is absent, no recovery guidance, no categorization of retryable vs fatal errors. Irreversible operations (asset_reboot, asset_shutdown) lack confirmation patterns. No tool annotations (readOnlyHint, destructiveHint, idempotentHint) despite clear risk stratification in the data. Naming is verb-first and clear (list_, restart_, read_, etc.), which is good, but parameter descriptions are minimal and lack format/constraint details. No evidence of pagination support for list tools. Overall: functional but well below production baseline.

• Expand all tool descriptions to 50-200 characters. Include WHAT the tool does, WHEN to use it (vs similar tools), and what the response contains. Example: 'List all running services on the agent. Returns service name, status (running|stopped), and uptime. Use before restarting to verify the service exists.'
• Document output schemas for all tools. Specify returned fields, types, and which IDs/references are available for chaining. Example: docker_container_logs should return {container_id, host_id, logs: string[], timestamp}.
• Add tool annotations: mark asset_reboot and asset_shutdown with destructiveHint=true; mark all read-only tools with readOnlyHint=true; mark idempotent operations with idempotentHint=true.
• Implement confirmation pattern for irreversible operations. Add a 'confirm' boolean parameter (default false) to asset_reboot and asset_shutdown. When false, return a confirmation prompt; when true, execute. Or use Multi Round-Trip Requests (result 'input_required') to ask the user before proceeding.
• Add pagination to list tools: include limit (default 20, max 100) and offset/cursor parameters. Document result caps in descriptions. Return total_count and next_cursor for chaining.