Server has 8 tools with basic schemas and descriptions, but significant gaps limit production readiness. Tool names follow verb_noun convention (generate_video, query_video, speak, etc.), which is good. However, descriptions are often generic or template-like (e.g., generate_video description includes unfilled placeholders like '{', '.join(provider_names)}'), and parameter descriptions lack specificity about constraints, formats, and valid ranges. Schemas are present but incomplete: many parameters lack type constraints (e.g., 'provider' is a free-form string with no enum), and output schemas are not documented. Error handling is minimal, no recovery guidance or actionable error messages visible in code. Security concern: API keys are injected via environment variables (good), but no validation of untrusted input from LLM calls (e.g., file paths in image_url, output_directory could enable path traversal).

• Replace template placeholders in generate_video description with actual provider list. Dynamically build description at server startup: 'Available providers: ark, kling, minimax, dashscope, siliconflow, vidu, veo. Default: ark.'
• Add enum constraints to all provider/model parameters. In server.py, extract provider names from get_all_providers() and build JSON Schema enums at tool registration time.
• Document output schemas for all tools. Add a comment block above each tool handler showing expected response structure, e.g., generate_video returns {task_id: str, status: str, video_url?: str}.
• Validate file paths: reject paths containing '..', absolute paths, or paths outside VIDEO_OUTPUT_DIR. Use pathlib.Path.resolve() and assert it's within the allowed directory.
• Enhance error messages with recovery hints. E.g., 'Provider "xyz" not found. Available: ark, kling, minimax. Call list_video_providers() to see all options.'