Skip to main content
Glama

summarize_video

Extract subtitles or spoken captions from Bilibili, YouTube, or Douyin video links and generate a Markdown summary. Get the key points without watching the full video.

Instructions

给一个视频链接(B站/YouTube/抖音),提取字幕/口播文案并生成 Markdown 总结。

Args: url: 视频分享链接(支持 bilibili.com / b23.tv / youtube.com / youtu.be / douyin.com / v.douyin.com) lang: 输出语言,默认 zh

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYes
langNozh

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

B3.2/5.0
Behavior2/5

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

There are no annotations, so the description carries the full burden of behavioral disclosure. It states that subtitles or spoken text are extracted and a Markdown summary is generated, but does not mention potential failure modes, dependence on subtitle availability, network access, rate limits, or processing behavior.

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 compact, front-loaded with the core action and output, and uses a clear Args section for parameter details. Every sentence contributes useful information without redundancy.

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

Completeness3/5

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

With only two simple parameters and an output schema present, the description gives enough to invoke the tool correctly for typical cases. However, it lacks guidance on edge cases, such as videos without subtitles or unsupported URL variants, and does not clarify how it differs operationally from get_transcript.

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?

Schema description coverage is 0%, but the description compensates by explaining that 'url' is a video share link and listing supported domains, and that 'lang' controls the output language with a default of 'zh'. This adds practical meaning beyond the bare schema fields.

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

Purpose4/5

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

The description names a specific verb ('summarize'), a clear resource ('video link'), and the main output ('Markdown summary'). It also enumerates supported platforms (B站/YouTube/抖音), making the tool's scope explicit and distinguishing it from the sibling get_transcript, though not by direct comparison.

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?

The description explains what the tool does and which URL patterns are accepted, but it gives no guidance on when to choose summarize_video vs get_transcript. It does not mention any exclusions, prerequisites, or scenarios where one tool should be preferred over the other.

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

Deploy Server

Other Tools