The server exposes 4 tools with reasonable descriptions and proper Zod schemas. All tools are named with action verbs (gemini_*), descriptions are present and contextual (avg ~100 chars), and input schemas use Zod with type information. However, there are critical gaps: no output schema documentation, no parameter constraints where enums could apply (e.g., model names), error responses return raw exception messages without recovery guidance, and no idempotency or retry semantics documented. The tools are simple wrappers around the Gemini API with minimal composition, each tool reads from the API and returns structured text output, but the response structure is undocumented for downstream chaining.

• Convert model parameter in all 4 tools to enum: z.enum(['gemini-2.5-pro', 'gemini-2.5-flash', 'gemini-2.0-flash']).optional(). This prevents hallucinated model names and lets LLMs pick valid options from the schema.
• Document output schema for each tool. Example for gemini_models: 'Returns array of {name: string, displayName: string, inputTokenLimit: number, outputTokenLimit: number}'. For gemini_ask/analyze/chat, clarify: 'Returns string (plain text response from Gemini).'
• Enhance error handling to classify errors and guide recovery. Example: 'Rate limit exceeded (429). Wait 30 seconds and retry.' or 'Invalid API key. Check GEMINI_API_KEY environment variable.' Return structured error response with retryable flag.
• Clarify when to use gemini_chat vs. gemini_ask. Suggestion: gemini_ask for single-turn questions; gemini_chat for multi-turn conversations where context matters. Add this to both descriptions.
• Expand gemini_models description to 50+ chars, e.g.: 'List all available Gemini models to discover options for the model parameter override before calling other tools.'
• Add idempotency note to tool descriptions: 'All tools are idempotent, calling with identical input multiple times produces identical output with no side effects. Safe to retry on transient failures.'
• Consider adding a tool to describe a specific model (get_model_details) if users need to inspect capabilities like token limits before choosing a model.