Single tool 'describe_image' has a clear, action-oriented name and a reasonably detailed description (195 chars). Input schema is present with two parameters, both typed and described. However, output schema is undocumented, the tool returns a plain string with no structured format specification. Error handling is present but generic (returns error strings rather than actionable recovery guidance). The tool lacks idempotency hints, permission declarations, and rate-limit guidance. No tool annotations (readOnlyHint, destructiveHint, idempotentHint) are present. The implementation is straightforward but falls short of production-grade patterns for composition, error recovery, and observability.

• Document the output schema explicitly. Define a structured response object: {description: string, detected_elements: [string], language: string, confidence: number}. This enables agents to extract and reason about specific aspects.
• Enhance error messages with recovery guidance. Instead of 'Kimi API error: {e}', return categorized errors: 'API timeout (retryable): Kimi is slow. Retry in 5s.' or 'Invalid image format: PNG, JPG, GIF, WebP, BMP supported. Got: {ext}'.
• Add tool annotations to the @mcp.tool() decorator: @mcp.tool(readOnlyHint=True, idempotentHint=True). This signals to agents that the tool is safe to retry and has no side effects.
• Expand the description to include timeout and rate-limit behavior: 'Kimi Vision API may take up to 120 seconds. If the API is rate-limited, wait 30 seconds and retry. Supports PNG, JPG, GIF, WebP, BMP up to 768px max dimension.'
• Add a 'format' parameter (enum: 'full', 'summary', 'json') to let agents control output structure. This enables composition with downstream tools that expect specific formats.