video_magic_eraser
AI 视频消除
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| method | No | 消除方法 | |
| duration | No | 时长(秒) | |
| video_url | No | 视频 URL | |
| callback_id | No | 回调标识 | |
| workspace_id | No | 工作空间 ID | |
| idempotency_key | No | 幂等键 |
AI 视频消除
| Name | Required | Description | Default |
|---|---|---|---|
| method | No | 消除方法 | |
| duration | No | 时长(秒) | |
| video_url | No | 视频 URL | |
| callback_id | No | 回调标识 | |
| workspace_id | No | 工作空间 ID | |
| idempotency_key | No | 幂等键 |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations declare readOnlyHint=false, idempotentHint=false, openWorldHint=true and destructiveHint=false, but the description adds nothing on top of them. It does not explain that this appears to be an asynchronous job (given callback_id/idempotency_key), how long erasure takes, or what happens to the source video. No contradiction with annotations, but no added value either.
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?
The phrase is brief, but this is under-specification rather than conciseness — there is no structure or front-loaded detail beyond a four-character label. Brevity here costs the agent all actionable information.
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?
For a six-parameter asynchronous job submission tool with no output schema, the description is completely inadequate. It omits the async/callback nature, the meaning of method, the video source requirement, and any output expectations, leaving the agent unable to call it correctly.
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 description coverage is 100% (method, duration, video_url, callback_id, workspace_id, idempotency_key are all documented in the schema), so the baseline of 3 applies. The description contributes nothing beyond the schema, notably no hint about valid values for 'method'.
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?
The four-character phrase 'AI 视频消除' (AI video erasure) essentially restates the tool name video_magic_eraser rather than describing what it does. It does imply a video-domain erase operation, but gives no detail on what is eliminated, from what, or how it differs from siblings like video_inpaint or image_magic_eraser.
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?
There is no guidance whatsoever on when to use this tool versus video_inpaint, video_edit, or image_magic_eraser. No prerequisites, no exclusions, no context of any kind.
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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