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baidu_video_gen

Generates a video from a reference image and text description using the MuseSteamer model.

Instructions

[Video] 视频生成(MuseSteamer) — $0.10/call (free: 5/5 today)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
imageYes参考图片URL
promptYes视频描述
Behavior2/5

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

With no annotations, the description carries the full burden but fails to disclose any behavioral traits. It does not mention if the operation is read-only or destructive, rate limits, or what happens to inputs. The pricing note is not behavioral. Transparency is low.

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

Conciseness3/5

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

The description is very concise (one line), but it lacks structure and essential information. It is not front-loaded with key details; it merely states a category and pricing. While brief, it sacrifices completeness for brevity.

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

Completeness2/5

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

Given the tool has two required parameters and no output schema, the description should explain the expected output or behavior. It does not mention return format, any limitations, or required setup. Completeness is insufficient for a video generation tool.

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

Parameters3/5

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

Schema description coverage is 100% with both parameters having Chinese descriptions ('参考图片URL' and '视频描述'). The tool description adds no additional meaning beyond what the schema provides, so baseline 3 applies.

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

Purpose3/5

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

The description indicates video generation (视频生成) and names the model (MuseSteamer), which provides a basic purpose. However, it does not explain what the tool does beyond the name, such as generating a video from a reference image and prompt. It distinguishes from siblings like baidu_video_query and baidu_image_gen, but the clarity is minimal.

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

Usage Guidelines2/5

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

No guidance is provided on when to use this tool versus alternatives. There is no mention of context, prerequisites, or when not to use it. The description only includes pricing and free call info, which does not help in tool selection.

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

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