Callirra MCP has well-structured tool definitions with consistent naming (verb_noun pattern), comprehensive parameter schemas using Zod validation, and clear descriptions. However, output schemas are not documented, responses are JSON-stringified but the structure is not declared. Error handling returns generic error messages without recovery guidance. Parameter descriptions are present but often minimal (e.g., 'The model identifier' lacks format/constraint details). Tool composition is sound: each tool has one responsibility, and IDs chain correctly. The server uses STDIO transport, which caps protocol readiness at 50.

• Document output schemas for all tools. E.g., 'Returns: { data: Array<{ id: string, name: string, ... }>, total: number }' so LLMs know what fields to extract.
• Enhance error messages with recovery guidance. E.g., 'Invalid model: got "xyz". Call list_models() to see available options.' or 'API rate limit exceeded. Retry in 60 seconds.'
• Add enum constraints to model, size, resolution, and mode parameters. E.g., size: z.enum(['1024x1024', '1024x1792', '1792x1024']) instead of free-form z.string().
• Document parameter interdependencies in create_video. E.g., 'seedance_mode, kling_mode, and minimax_h3_mode are mutually exclusive, pass only one based on the model chosen.'
• Migrate from STDIO to HTTP+SSE or Streamable HTTP transport to enable remote deployment and hosted client compatibility.