Server has 5 tools with complete input schemas and descriptions. Naming follows verb_noun pattern (generate_*, check_*, estimate_*, list_*). Descriptions are detailed (100-300 chars) and explain WHEN to use each tool. However, parameter descriptions are sparse or missing for several fields (e.g., 'aspect' lacks format guidance, 'reference_images' lacks type clarity). Output schemas are not documented, LLMs cannot predict response structure. Error handling is minimal; no recovery guidance or categorization. Security: API key injected via env var (correct), but no audit logging or permission gates visible. Composition is sound: tools chain logically (generate → check_task → download). Idempotency not addressed for async operations.

• Document output schemas for all tools. Example for wanapis_check_task: { status: 'running'|'done'|'error', progress: 0-100, cost_usd: number, media_urls: string[], error?: string }. This enables LLMs to chain tools and extract the right fields.
• Add format constraints to parameters. For 'aspect', use enum ['1:1', '16:9', '9:16', '4:3'] or pattern '^\d+:\d+$'. For 'seconds', add minValue: 4, maxValue: 15 in schema. For 'reference_images', specify 'Array of HTTPS image URLs (max 5, each <10MB)'.
• Implement idempotency for async operations. Add an optional 'request_id' parameter to wanapis_generate_image and wanapis_generate_video. Use it as a deduplication key so retries return the same job_id instead of spawning duplicates.
• Add error recovery guidance. When a task is not found, return: 'Task not found. It may have expired (24h TTL). Call wanapis_list_models to verify the model exists, then retry with a new prompt.' Categorize errors: retryable (timeout, rate limit), user-fixable (invalid model, bad prompt), fatal (auth failure).
• Add audit logging. Log each tool call with timestamp, caller context (if available), parameters (excluding secrets), and result status. This enables compliance tracing and debugging of agent behavior.