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Create Video

create_video
Destructive

[write] Create a video project (DRAFT). video_source = raw source from BunnyCDN (video_source_url, video_source_language, video_source_duration_max 5-600s, video_source_prompt brief) - queues analysis + auto edit generation; video_output = render settings (default 1080x1920 mp4). Then call render_video. Answers video_id and video_uuid.

Input Schema

NameRequiredDescriptionDefault
video_titleYes
video_outputNo
video_sourceNo
video_keywordsNo
video_languageNo
video_descriptionNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior4/5

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

Annotations already declare write/non-idempotent/destructive, and the description adds that creation produces a DRAFT that queues analysis and auto edit generation, plus that a separate render_video call is needed. It does not explain destructive side effects or permission requirements, but it adds meaningful workflow context beyond the annotations.

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

Conciseness4/5

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

Front-loads the write/create purpose, then packs parameter meaning, workflow, and return fields into two dense sentences. There is little waste, though the single long sentence mixing multiple concepts reduces readability slightly.

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?

Given six parameters, loose nested objects, no output schema, and 0% schema descriptions, the description covers purpose, source/output setup, next step, and returned IDs. It still omits sibling differentiation, the required video_title, three other parameters, and destructive implications, so it is not fully complete.

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

Parameters3/5

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

Schema coverage is 0%, so the description must carry parameter meaning. It details video_source (BunnyCDN URL, language, 5-600s duration, brief prompt) and video_output (default 1080x1920 mp4), which is valuable, but it leaves video_title, video_keywords, video_language, and video_description unexplained and does not specify nested object shapes.

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?

States a specific verb and resource: 'Create a video project (DRAFT)' and explains that it queues analysis and auto edit generation. However, it does not differentiate from sibling video creators like create_film_video, create_ugc_video, or create_promo_video, so an agent cannot easily tell which video creation tool to pick from the description alone.

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

Usage Guidelines3/5

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

Provides workflow guidance ('Then call render_video') and indicates video_source is for raw BunnyCDN source while video_output sets render settings. But there is no explicit when-to-use vs alternatives or when-not to use guidance, and the sibling video creation tools are not mentioned.

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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