Critical gaps across all dimensions. Tool definitions lack visible input schemas, parameter descriptions, and output documentation. Descriptions are minimal (10-30 chars), providing no context for LLM selection. No evidence of error handling guidance, permission gates, or security patterns. Tools appear inferred from file paths rather than explicitly registered with full MCP schemas. This is a desktop app with agent-tool files, not a production MCP server.

• Create explicit MCP tool registration with full JSON Schema input definitions for all 31 tools. Include type, description, and constraints for every parameter.
• Expand tool descriptions to 100-200 characters. Answer: What does it do? When should the LLM call it? What does it return? Example: 'Create a cron job to run a command on a schedule. Use this to automate recurring tasks. Returns job_id, schedule, and next_run_time.'
• Add parameter descriptions for all inputs. For 'job_id', specify format (UUID, alphanumeric). For 'schedule', specify format (cron expression, ISO 8601 interval). For 'status', use enum: [open, in_progress, completed, failed].
• Implement error handling with recovery guidance. For removeJob, add: 'If job not found, call listJobs() to verify the job_id. If permission denied, contact admin.' For generateImage, add: 'If timeout, retry with smaller dimensions or longer timeout parameter.'
• Document output schemas for all tools. Specify which fields are returned, their types, and which are safe to chain to downstream tools. Example: 'Returns {job_id: string, schedule: string, next_run_time: ISO8601, status: enum}'