The server defines 12 tools with generally good naming conventions (verb-first, clear action intent). Tool descriptions are present and reasonably detailed (averaging ~150 chars), meeting the 10-1024 char baseline. Input schemas are visible with proper JSON Schema structure including types and descriptions for most parameters. However, there are notable gaps: output schemas are not documented, parameter descriptions lack detail in some tools (e.g., 'Multipart file upload containing workflow JSON' is sparse), and error handling is not well-defined in the visible code. Security concerns around input validation and credential handling are not evident. The tool composition is sound, each tool has a single responsibility, and tool names follow verb_noun convention. The server lacks documentation of what fields LLMs should expect in responses, which violates pattern:tool and mxe:response-field-naming. Pagination support exists in list_* tools but could be more explicit about total count returns.

• Document output schemas for all 12 tools. For example: 'Returns: {job_id: string, status: string (pending|running|completed|failed), created_at: ISO8601 string, service_name: string, progress: number (0-100)}'
• Add explicit error handling guidance. E.g., for get_job_status: 'If job_id is invalid, returns error: Job not found. Check job_id via list_jobs()'
• For delete_workflow and cancel_job, add idempotency notes: 'Safe to retry, calling twice with the same ID has the same effect as calling once.' Or implement dry-run: add a 'confirm' boolean param.
• Clarify upload_workflow vs. create_workflow. Either merge them (and accept both JSON body and file upload) or document the intended use case for each.
• Add validation constraints to string parameters. E.g., 'service_name must be 1-50 characters, alphanumeric + underscore', 'workflow name must be 1-255 characters'.
• Document pagination totals. E.g., list_jobs returns: {jobs: [...], total: number, limit: number, offset: number, has_more: boolean}
• Add response examples in tool documentation (separate from descriptions, in a markdown section). Show LLMs what success looks like.
• Implement input validation and return structured error messages: 'Invalid status filter: got "in_progress", must be one of: pending|running|completed|failed|timeout|cancelled'.

Inferred effective spec: 2025-06-18+.

• Relies on Logging (deprecated) - log to stderr or use OpenTelemetry