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AdsTurbo

AdsTurbo Creative MCP

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Generate video ad storyboard

generate_storyboard

Create a short-form video ad storyboard with tailored scenes, timing, CTA, and production notes for platforms like TikTok, Reels, or YouTube based on product and audience inputs.

Instructions

Generate a short-form video ad storyboard object with platform, aspect ratio, timing, scenes, CTA, and production notes. No AdsTurbo API calls.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
productNameYesProduct name.
audienceYesTarget audience.
categoryNoProduct category.
brandNameNoBrand name.
productUrlNoOptional product URL for context only. This server does not fetch it.
priceNoOptional price or price range.
platformNoTarget platform.
durationSecondsNoTarget video duration.
benefitsNoProduct benefits.
painPointsNoBuyer pain points.
proofPointsNoProof points, trust cues, or substantiated claims.
offerNoOffer or CTA context.
toneNoCreative tone, such as friendly UGC demo.
primaryCtaNoPrimary CTA.
requiredShotsNoShots that must appear in the creative plan.
forbiddenClaimsNoUnsupported or forbidden claims to avoid.
localeNoOutput language. Use en for English or zh for Chinese.
websiteRegionNoAdsTurbo website region for follow-up experience links. Use global for adsturbo.ai or cn for adsturbo.cn.
Behavior2/5

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

No annotations provided; the description only notes 'No AdsTurbo API calls.' It does not disclose side effects, resource creation, or state changes, leaving the agent with limited behavioral understanding.

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 sentences with no wasted words, but could be structured more clearly (e.g., bullet points or explicit sections). Still efficient.

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?

With 18 parameters and no output schema, the description is too brief. It lacks details on output structure, return format, or usage context, making it incomplete for a complex tool.

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%, so parameters are documented. The description adds marginal value by listing output components (platform, aspect ratio, etc.), but does not enhance parameter understanding 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 clearly states it generates a short-form video ad storyboard and lists key components (platform, aspect ratio, etc.). However, it does not differentiate from sibling tools like build_ad_brief or write_ugc_script.

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. The description lacks context about prerequisites or appropriate scenarios.

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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