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heygen_create_avatar_video

Create an AI avatar video that speaks a script with a selected voice. Use this tool to generate videos and poll for completion with the returned video_id.

Instructions

Create an AI avatar video with HeyGen. The avatar speaks a script using a selected voice. Returns a video_id to poll for completion.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
api_keyYesHeyGen API key
avatar_idYesAvatar ID (use heygen_list_avatars to find available avatars)
scriptYesThe text the avatar will speak
voice_idNoVoice ID (use heygen_list_voices to find available voices)
background_urlNoURL of background image
avatar_styleNoAvatar style: normal, circle, closeUp (default: normal)
widthNoVideo width in pixels (default: 1280)
heightNoVideo height in pixels (default: 720)
titleNoVideo title for reference
testNoSet true to generate a watermarked test video (does not use quota)
Behavior3/5

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

Without annotations, the description should fully disclose behavioral traits. It mentions returns video_id for polling and that test parameter avoids quota, but omits details like processing time, cost, or typical success rates.

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?

Two concise sentences cover the core action and return value. No unnecessary information, well front-loaded.

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 10 parameters and no output schema, the description is somewhat complete but lacks details on post-creation behavior, default value implications, and error states.

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 100% with well-described parameters. The description adds minimal value beyond the schema, not providing additional nuance or usage tips.

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 explicitly states the tool creates an AI avatar video with HeyGen, clearly distinguishing it from sibling tools like heygen_get_video_status. However, it does not explicitly contrast with other tools.

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?

No guidance on when to use this tool versus alternatives like heygen_list_avatars or heygen_get_video_status. The description implies polling for completion but lacks explicit when-to-use or when-not-to-use instructions.

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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