seedream_generate_sequence

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations provided, so description carries full behavioral disclosure burden. It covers image count limits (1-15), model versions, output formats, watermark, and save_to path. Does not mention auth needs or rate limits, but the generative nature is well-described with continuous sequence. Lacks details on error states or retry behavior.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Extremely concise: three sentences plus two examples. Front-loaded with core purpose. No filler; every sentence adds value.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given 8 parameters and no output schema, description covers all aspects: usage scenarios, limits, model choices, output formats, and provides examples. Sufficient for an AI agent to understand tool capabilities and limitations.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%. Description adds meaning beyond schema: prompt as '描述组图的主题和内容', model as '需 4.5 或 5.0', save_to as 'b64_json 模式必填', etc. Provides examples for prompt. Adequately informs parameter usage.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

Clear verb+resource: '组图生成：根据文本描述生成一组连续图片.' Specifies generation of a sequence of continuous images. Distinguishes from siblings like seedream_text_to_image (single image) and seedream_merge_images (merge).

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicit when to use: '适用于需要生成多张连续画面的场景，如故事板、漫画分镜等.' Also mentions supported models (4.5 and 5.0) and batch limit of 15. Does not explicitly state when not to use or name alternatives, but context implies single-image tasks use text_to_image.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.