Strong foundation with clear naming, comprehensive schemas, and good parameter constraints. All 8 tools have descriptions (avg 95 chars) and input schemas with type definitions. Tool annotations present (readOnlyHint, destructiveHint, idempotentHint). Key gaps: parameter descriptions are minimal (many lack context beyond type), output schemas undocumented, and error handling lacks recovery guidance. search_models and get_model_schema descriptions are generic; submit_generation lacks dry-run/confirmation pattern for destructive operation.

• Document output schemas for all tools. Define field types, required vs optional, and nesting. Example: search_models returns {count: number, models: [{id, name, capability, summary, submitOperationId, statusOperationId}]}.
• Enhance parameter descriptions with format and constraint details. Replace 'The model identifier' with 'Model ID (1-100 chars, alphanumeric + hyphens). Obtain via search_models() or get_model_schema().'
• Add dry-run support to submit_generation. Accept optional 'dry_run: true' parameter to return cost estimate without charging. Prevents accidental expensive submissions.
• Enrich error responses with recovery hints. When model_id not found, return: 'Model "xyz" not found. Call search_models(query="xyz") to find available models.' Enables LLM self-correction.
• Document pagination for search_models and search_docs. Clarify that limit caps results (default 10/8), and explain how to fetch additional results if needed.

Inferred effective spec: 2025-06-18+.

• Relies on Stateful initialize / Mcp-Session-Id (removed; protocol is stateless) - make each request self-contained