video_analyze
视频拉片
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| video_url | No | 源视频 URL | |
| callback_id | No | 自定义追踪 ID,webhook URL 后台配置 | |
| workspace_id | No | 关联工作区 ID,无则传 0 |
视频拉片
| Name | Required | Description | Default |
|---|---|---|---|
| video_url | No | 源视频 URL | |
| callback_id | No | 自定义追踪 ID,webhook URL 后台配置 | |
| workspace_id | No | 关联工作区 ID,无则传 0 |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=false, idempotentHint=false, openWorldHint=true, destructiveHint=false. The description adds nothing: it does not disclose that this is likely an async task (implied by the callback_id/webhook parameter), nor any auth, rate-limit, or lifecycle behavior. Zero added behavioral context.
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?
It is short, but this is under-specification rather than conciseness. Four characters with no front-loaded task scope, constraints, or outcome leaves every sentence that should exist absent.
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 non-read-only, non-idempotent tool with a webhook callback parameter and no output schema, the description should explain the async task lifecycle, what the analysis produces, and how results are delivered. None of this is present, making it completely inadequate.
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% (video_url, callback_id, workspace_id all documented in the schema), so the schema carries parameter meaning. The description adds no additional parameter semantics, which matches the baseline 3 for a fully-covered schema.
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?
"视频拉片" essentially restates the tool name video_analyze (video breakdown/frame-by-frame analysis). It names the resource but uses industry jargon and provides no differentiation from the many sibling video tools (video_edit, video_enhance_v2, video_translate, etc.). An agent cannot tell which video task this uniquely performs.
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 when-to-use guidance, no mention of alternatives, and no conditions or prerequisites. With 29 sibling tools, the agent is given nothing to route on.
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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