This MCP server provides four tools for Gemini AI integration with good naming conventions (all verb-noun format: gemini_generate, gemini_messages, gemini_search, gemini_youtube). Tool descriptions are present and reasonably detailed (150-250 chars each), explaining WHAT each tool does and WHEN to use it. Input schemas are fully defined with JSON Schema types, constraints (min/max for numbers, minLength for strings), and parameter descriptions. However, output schemas are not documented, the server returns text responses but does NOT specify the structure of those responses, which violates pattern:tool documentation requirements. Error handling exists (handleGeminiError function) but lacks per-tool guidance or actionable recovery steps. Parameter naming is consistent (temperature, max_tokens, top_p, top_k) across all tools, enabling composition. No critical security issues detected, API key is server-side injected via environment variable, not exposed as a parameter.

• Document output schemas for all tools. E.g., 'Returns: { text: string (max 50000 chars), model: string, usage?: { input_tokens?: number, output_tokens?: number } }' so LLMs know what fields to expect.
• Add explicit result limits and pagination to gemini_search (e.g., 'Returns top 10 search results') and gemini_youtube (e.g., 'Analyzes first 30 minutes of video'). Document pagination parameters if supported.
• Enhance error messages with actionable recovery steps. E.g., 'Invalid API key. Ensure GOOGLE_API_KEY environment variable is set correctly. See https://aistudio.google.com/apikey'
• For gemini_youtube, add explicit description of what happens when 'query' parameter is omitted. E.g., 'If query is omitted, returns a general summary of the video.'
• Document the 50,000 character response limit in all tool descriptions. E.g., 'Note: responses are limited to 50,000 characters; very long outputs may be truncated.'
• Add a model_fallback_warning or similar field to responses when fallback occurs, so the client/agent can log or alert that a different model was used than requested.
• Consider adding a 'confidence' or 'complete' field to responses when content is truncated due to CHARACTER_LIMIT, so LLMs know whether to trust the full response.
• For gemini_search, document whether citations are included in the response and in what format (e.g., footnote URLs, hyperlinks, structured metadata).