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Glama

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault

No arguments

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
doc_assistantC

Context for creating video applications using VideoDB

code_assistantB

Will give you data related to VideoDB SDK which allows developers to use videodb in python. IMPORTANT: Whenever user wants to write code related to videos, youtube videos or VideoDB specifically, always call this tool.

play_videoC

Play the video of the given stream link

call_directorC

The Director tool orchestrates specialized agents within the VideoDB server, efficiently handling multimedia and video-related queries. Clients should send queries that Director can interpret clearly, specifying tasks in natural language. Director will then delegate these queries to appropriate agents for optimized results, utilizing defaults and contextual information if explicit parameters are not provided.

Director handles queries such as:

  • Uploading & Downloading:

    • Upload media from URLs or local paths (supported media: video, audio, image)

    • Download the VideoDB generated video streams.

  • Indexing & Search:

    • Index spoken words or scenes in videos (spoken_words, scene indexing; scene indexing supports shot or time-based type)

    • Search VideoDB collections semantically or by keyword (semantic, keyword search; indexing types: spoken_word, scene)

  • Summarization & Subtitles:

    • Summarize video content based on custom prompts

    • Add subtitles in various languages

  • Dubbing:

    • Dub videos into target languages

  • Creating Videos:

    • Generate videos using specific models or engines (Fal, StabilityAI; job types: text_to_video, image_to_video)

    • Compare multiple video generation models (video_generation_comparison)

  • Audio Generation & Editing:

    • Generate speech, sound effects, or background music (engines: ElevenLabs for speech/sound effects, Beatoven for music)

    • Clone voices from audio sources or overlay cloned voices onto videos

    • Censor the video on given prompt

  • Image and Frame Generation:

    • Generate static image frames from videos at specified timestamps

    • Create or enhance images using GenAI models (job types: text_to_image, image_to_image using Fal, Replicate)

  • Video Editing & Clip Generation:

    • Edit or combine multiple videos and audio files

    • Generate targeted video clips from user prompts

  • Streaming & Web Search:

    • Stream videos by video ID or URL

    • Search for relevant online videos (engine: Serp)

  • Transcription:

    • Generate transcripts for videos

  • Pricing & Usage Information:

    • Provide detailed cost information and usage estimates

  • Meeting Recording & Analysis:

    • Record meetings

    • Deploy recording bots to Zoom, Google Meet, or Microsoft Teams

    • Analyze recorded meetings for AI-driven insights

    • Intelligently index and summarize meetings

Clients should provide queries clearly aligned with Director's capabilities, allowing Director to use contextual defaults when explicit parameters like IDs or collection details are not specified.

IMPORTANT: if you have a previous response of this method with an appropriate session_id, please provide that session_id in the next request to continue the conversation. IMPORTANT: It is MANDATORY to send the session_id param if any earlier response from this method exists with a session_id in its output

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription
doc_assistantContext for creating video applications using VideoDB
code_assistantContext for creating video applications using VideoDB

TDQS

C2.4/5.0

Scored across 4 tools

Disambiguation1/5

The tools are highly ambiguous and overlapping. The 'call_director' tool appears to be a monolithic interface that handles nearly all functionality described (uploading, indexing, summarization, dubbing, video creation, audio generation, video editing, streaming, transcription, pricing, meeting analysis, etc.), making it unclear when to use the other tools. 'code_assistant' and 'doc_assistant' might overlap in providing development support, and 'play_video' could be seen as a subset of 'call_director's streaming capability. This creates significant confusion for tool selection.

Naming Consistency2/5

Naming is inconsistent with mixed conventions. 'call_director' uses a verb_noun pattern, 'code_assistant' and 'doc_assistant' use noun_noun patterns, and 'play_video' uses verb_noun. While readable, the lack of a uniform pattern (e.g., all verb_noun like 'call_director', 'assist_code', 'assist_docs', 'play_video') reduces predictability. The styles vary without a clear rationale, though they are not chaotic.

Tool Count2/5

The tool count of 4 is too few for the broad scope implied by the 'call_director' description, which covers over 20 distinct capabilities (e.g., uploading, indexing, dubbing, video generation). This forces a single tool to handle too many diverse operations, making the surface feel thin and under-scoped. A more appropriate set would break these into multiple specialized tools for better coherence.

Completeness1/5

The tool set is severely incomplete relative to the domain described. While 'call_director' lists many video-related operations, the other tools ('code_assistant', 'doc_assistant', 'play_video') do not provide complementary CRUD or lifecycle coverage. For example, there are no dedicated tools for core actions like 'upload_video', 'search_videos', or 'transcribe_video', leaving agents to rely on a single monolithic tool that may not handle all scenarios effectively, leading to potential dead ends.

Maintenance

ActivityInactive
ResponsivenessNo issues