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Glama

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault
SCENEXT_API_KEYYesYour Scenext API key for authentication

Instructions

Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.

This server publishes no instructions, or was last inspected before Glama recorded them.

Capabilities

Server capabilities have not been inspected yet.

Tools

Functions exposed to the LLM to take actions

NameDescription
gen_videoC

生成教学讲解视频,生成时间大约需要10到20分钟,根据题目难度来定

Args: question: 问题内容(文本形式),question和questionImages中至少输入一个 answer: 参考答案(文本形式):确保生成的讲解内容准确(可选) question_images: 问题内容(图片形式),输入图片的URL或者base64(可选) answer_images: 参考答案(图片形式),输入图片的URL或者base64(可选) quality: 视频质量,可选值:l(低)、m(中)、h(高),默认为配置的默认质量

Returns: 包含任务ID的字典

query_video_statusA

查询视频生成状态

Args: task_id: 视频生成任务ID

Returns: 包含任务状态信息与任务结果的字典,任务结果中的视频链接请用"链接文本"形式展示给用户,图片链接请用"链接文本"形式展示给用户

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

TDQS

A3.5/5.0

Scored across 2 tools

Disambiguation5/5

The two tools have completely distinct purposes: gen_video creates educational videos, while query_video_status checks the status of those video generation tasks. There is no overlap in functionality, and an agent would never confuse one for the other.

Naming Consistency5/5

Both tools follow a consistent verb_noun naming pattern: gen_video and query_video_status. The naming is clear, predictable, and uses the same snake_case convention throughout.

Tool Count3/5

With only 2 tools, the server feels thin for a video generation service. While the core create+query workflow is covered, typical video generation domains might include additional operations like listing tasks, canceling tasks, or managing templates. The count is borderline but functional.

Completeness4/5

The server covers the essential create and query operations for video generation, forming a complete lifecycle. However, there are minor gaps: no tool to list or manage existing tasks, and no ability to cancel a task or adjust video parameters after submission. Agents can work around this, but it's not fully comprehensive.

Maintenance

ActivityInactive
ResponsivenessNo issues