This server shows moderate definition quality with significant gaps. 21 tools are registered with descriptions and parameter schemas, but the quality is inconsistent. Most tool descriptions are adequate (100-300 chars), but many parameters lack proper type constraints, defaults, or validation guidance. Error handling is minimal, no recovery guidance, no retryability classification, no actionable error messages visible in the code. The server exposes many complex AI model interfaces (Gemini, OpenRouter, RAG, Deep Research) but abstracts away internal details without clear examples of how agents should compose them. Input validation exists (secure_read_file, validate_path) but is not reflected in parameter constraints or error messages. Critically, tools like `gemini_analyze_codebase`, `gemini_deep_research`, `gemini_generate_image`, and `gemini_generate_video` accept paths and model selections but provide no guidance on format, validation rules, or recovery. Several tools (13-17, 19-21) have minimal or inferred descriptions in the provided code excerpt. The server lacks tool annotations (readOnlyHint, destructiveHint, idempotentHint) despite having clearly destructive (delete_conversation) and read-only operations.

• Add full docstrings with parameter descriptions for tools 13-21 (RAG, transcription, conversation management). Each parameter must explain its type, valid range, and constraints.
• Annotate all tools with readOnlyHint and destructiveHint. Use FastMCP's @mcp.tool() decorator properties (if supported) or inline metadata. Example: `@mcp.tool(readOnlyHint=True)` for read-only tools.
• Document error cases and recovery guidance for long-running operations (analyze_codebase, deep_research, generate_video). Example: 'If this times out, retry with continuation_id=<prev_id> to resume. If still timing out after 3 retries, the research topic may be too complex, try narrowing the scope.'
• Add validation descriptions for path parameters. Specify: 'File paths must be within the workspace root (/workspace). Glob patterns supported: *.py, src/**/*.ts. No absolute paths or symlinks outside workspace.',
• Clarify model trade-offs in parameter descriptions. Example: 'flash: faster responses (1-3 sec), good for simple tasks. pro: slower (5-15 sec), better quality for complex analysis. Default: flash unless analysis_type=architecture.',
• Document return format for content generation tools when output_path is None. Example: 'Returns a dict: {"content": "<base64-encoded image>", "size": "1024x768", "format": "png"}' if applicable.
• Add rate limit warnings to tool descriptions. Example: 'Gemini Deep Research is rate-limited to 5 concurrent researches per account. Timeout after 60 minutes of waiting. Use continuation_id to resume.',

Inferred effective spec: <=2025-11-25.

• Relies on Logging (deprecated) - log to stderr or use OpenTelemetry