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tody-agent

affiliate-marketplace-mcp

by tody-agent

generate_video_storyboard

Create a 45-second video storyboard for a product with six structured scenes—Hook, Problem, Hero Reveal, USP, Social Proof, CTA—including Veo 3.1 visual prompts.

Instructions

Generate a 45s AI video storyboard with 6 structured scenes (Hook, Problem, Hero Reveal, USP, Social Proof, CTA) and Veo 3.1 visual prompts.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
product_idYesProduct ID in SQLite database
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It describes the generation action and output composition, but does not state whether the result is returned directly, persisted, or whether there are side effects or external API calls. This is a meaningful gap for a generate tool with no output schema.

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?

The description is a single compact sentence with the key output details front-loaded. The scene list is efficient and adds real information without filler or redundancy.

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?

For a one-parameter tool, the description provides useful output context: duration, scene count, scene purposes, and Veo 3.1 prompts. It is not fully complete because it does not state the return format or whether anything is created or saved, but the basic invocation context is present.

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?

There is only one parameter, product_id, and the input schema already documents it as a Product ID in SQLite database with 100% coverage. The description adds no additional parameter format, example, or behavior beyond the schema.

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 states a specific action ('Generate') and a concrete resource ('45s AI video storyboard') with useful detail about structure and prompt style. It does not explicitly differentiate from sibling tools like create_videofactory_project, but the storyboard focus is clear enough to set it apart from search, audit, review, and repair tools.

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?

The intended use is implied: call this when you need a product video storyboard. However, there is no explicit when-to-use, when-not-to-use, or alternative guidance, especially relative to create_videofactory_project, which may be part of a similar video workflow.

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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