An MCP server that generates, validates, and exports workflow blueprints from natural language descriptions using Google Gemini AI
Four tools with basic schemas and descriptions, but significant gaps in parameter documentation and output schema clarity. Tool names follow verb_noun convention (generate_, validate_, export_, get_). Descriptions exist but are brief (40-80 chars, below the 194-char baseline). Input schemas present with enums for format parameters, but output schemas are not documented. No error handling guidance. Parameters lack detailed constraints and format specifications. The server lacks pagination, result limits, and recovery guidance, critical for production use.
Exports a workflow from one format to another
Generates a structured workflow blueprint from a natural language description
Returns information about this MCP server
Validates a workflow definition against the supported schemas
Output schemas not documented. LLMs cannot plan downstream tool calls or extract structured data without knowing what fields to expect.
Parameter descriptions lack format constraints and ranges. E.g., 'description' parameter has no length limits, format hints, or examples of valid input.
No error handling guidance. Tools do not document what errors can occur, whether they are retryable, or what the LLM should do next.
Tool descriptions are too brief (35-45 chars vs. 194-char baseline). They lack context on WHEN to use each tool and what distinguishes them.
| Scored | Grade | Overall | Spec posture | Rubric |
|---|---|---|---|---|
| 2026-09-23 | F | 48 | 2026-07-28+ | v2 |
No pagination or result limits documented. generate_workflow_spec and export_to_format could return large outputs; no guidance on chunking or streaming.