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视频合规检测

check_video

Detects compliance risks in video visuals, audio, and spoken script, returning timestamped risk details. Supports local files or public links, with optional script drift detection against an approved text check.

Instructions

检测视频的画面、音频与口播话术合规风险,返回带时间点的风险明细。支持传本机文件路径(会自动上传)或公网直链。按视频时长计费(1 积分/秒),长视频要等数分钟。若该视频的脚本此前用 check_text 检测过,把那次的 id 传进 textCheckId 可额外做口播漂移检测(比对实际口播与过审脚本的偏离片段)。

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
titleNo视频标题,用于在检测历史里识别。未命名视频
videoYes本机文件绝对路径,或公网可访问的视频直链(http/https)。
platformNo发布平台,作用于口播文案的规则集范围。不传按产品线取默认值。
sizeBytesNo视频字节数。传本机路径时自动读取。
textCheckIdNo关联的过审文案检测 id,用于口播漂移检测。
waitSecondsNo最多等待多少秒。超时会返回检测 id,之后用 get_check_result 取。
durationSecondsNo视频时长(秒),**计费依据**。传本机 mp4/mov 时自动解析;其他情况必须准确填写——申报明显短于实际时长的差额会在检测完成时自动补扣。
productVerticalNo产品线:creator=短视频、duanju=短剧、touliu=投放。creator
Behavior5/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It discloses billing (1 credit/second), long processing times for long videos, auto-upload from local file paths, support for direct links, and optional drift detection via textCheckId. The param description also notes automatic deduction for under-reported duration, adding to the transparency.

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

Conciseness5/5

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

The description is three concise sentences that front-load the primary purpose, then cover input methods, billing, wait times, and an optional advanced feature. Every sentence adds unique value without repetition or filler.

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

Completeness4/5

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

For a complex tool with 8 parameters and no output schema, the description covers key usage context: main function, input methods, billing, wait behavior, and optional drift detection. It mentions the return format as 'risk details with timestamps' but does not fully describe the response structure or timeout handling (though timeout is in the waitSeconds param). Overall, it is quite complete but could add a bit more about the output shape.

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

Parameters4/5

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

The schema covers 100% of parameters with detailed descriptions, so the baseline is 3. The main description adds extra context beyond the schema by explaining the billing relationship with durationSeconds and the cross-check purpose of textCheckId, linking it to check_text. This enriches the parametric understanding without redundancy.

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

Purpose5/5

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

The description explicitly states that the tool detects compliance risks in video visuals, audio, and spoken script, and returns timestamped risk details. This clearly distinguishes it from sibling tools like check_text and check_image, which target different media types. The name 'check_video' and title '视频合规检测' reinforce the purpose.

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

Usage Guidelines4/5

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

The description gives clear conditions for using textCheckId (when the script was previously checked via check_text) and mentions billing and wait times to set expectations. However, it does not explicitly contrast with alternatives like check_image or specify when not to use the tool, though the media type distinction is evident from the tool names.

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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