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AdsTurbo

AdsTurbo Creative MCP

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Build ad variation plan

build_variation_plan

Generate testable ad variation plans with hooks, visual openings, CTAs, hypotheses, and risk notes for video ad creative planning.

Instructions

Generate testable ad angles with hooks, visual openings, CTAs, hypotheses, and risk 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?

With no annotations provided, the description only discloses that no AdsTurbo API calls are made, lacking information on other behavioral traits such as resource usage or output characteristics.

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 concise with two sentences, front-loading the main purpose and including a key behavioral note, with no unnecessary information.

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?

Given the tool has 18 parameters and no output schema, the description lacks sufficient context about output format or how to use the results, leaving gaps 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?

All parameters have descriptions in the input schema (100% coverage), and the description adds no additional meaning beyond what is already provided.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool generates testable ad angles with specific components like hooks, CTAs, and risk notes, distinguishing it from sibling tools that may focus on individual aspects.

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 description implies usage for creating ad variation plans but does not provide explicit guidance on when to use this tool versus alternatives like build_ad_brief or generate_hooks.

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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