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AdsTurbo

AdsTurbo Creative MCP

Official
by AdsTurbo

Build ad variation plan

build_variation_plan

Generate testable ad angle variations for creative iteration. Specify product, audience, and platform to produce multiple ad angles for A/B testing.

Instructions

Generate testable ad angles for creative iteration. No AdsTurbo API calls.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
productNameYesProduct name.
audienceYesTarget audience.
categoryNoProduct category.
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.
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. It only reveals one behavioral trait: 'No AdsTurbo API calls'. It does not disclose idempotency, side effects, or required permissions, which is insufficient for a tool generating content.

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 sentence with no wasted words. It front-loads the purpose and adds a key behavioral constraint, achieving maximum conciseness.

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?

With no output schema, the description should explain what the tool returns. It does not mention output format or structure. The tool has many parameters but low required count; the description is adequate but not complete for an AI agent to fully understand usage context.

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 100%, so the schema already documents all parameters. The description adds no additional meaning beyond what is in the schema, meeting the baseline of 3.

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 'Generate testable ad angles for creative iteration', providing a specific verb and resource. It also distinguishes from sibling tools by noting 'No AdsTurbo API calls', which contrasts with tools that likely require API access.

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 this tool is for internal generation without API calls, but it does not explicitly state when to use it versus alternatives like 'build_ad_brief' or 'generate_hooks'. No exclusions or alternative conditions are given.

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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