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video_agent_create

Initiate a video generation task by selecting a template and supplying inputs. Use the returned task ID to check progress.

Instructions

Create a video template/agent task. Returns a task_id to poll with video_agent_query.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
inputsYesTemplate-specific inputs as a string-keyed map (e.g. {character: "...", scene: "..."})
template_idYesVideo template/agent identifier
callback_urlNo
Behavior2/5

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

No annotations provided; description carries full burden. Implies async by mentioning polling, but omits explicit async behavior, error handling, permissions, or operation guarantees. Minimal behavioral disclosure.

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?

Two sentences, no redundancy. Front-loaded with action. Every word earns its place.

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

Completeness2/5

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

No output schema; only mentions returning task_id. Lacks error conditions, polling frequency, success/failure indicators. For an async tool, important behavioral context is missing. Parameter coverage is adequate but incomplete.

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 description coverage is 67%; description adds value for 'inputs' with an example but ignores 'callback_url'. 'template_id' is adequately described. Partially compensates for schema gaps.

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?

Clearly states it creates a video template/agent task and returns a task_id. Distinguishes from sibling video_agent_query (polling) but not from video generation tools like video_text_to_video, which may overlap in use.

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?

Hints at follow-up polling with video_agent_query but lacks when-to-use vs alternatives, prerequisites, or when not to use. No explicit usage context or exclusion criteria.

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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