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plan_creative_campaign

Destructive

Plan multi-asset creative campaigns and generate draft jobs for product photos, video ads, marketplace cards, and more.

Instructions

Plan a multi-asset creative campaign and optionally create draft generation jobs. Covers Higgsfield-like workflows: product photos, UGC/video ads, marketplace cards, launch/social packs, storyboards, and channel cutdowns.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
goalYesPrimary campaign goal.
formatsNoPreset IDs to force. Defaults inferred from channels.
audienceYesTarget audience.
channelsYesTarget channels: TikTok, Reels, YouTube Shorts, web, marketplace, LinkedIn, etc.
create_jobsNoCreate draft generation jobs. Default true.
campaign_nameYesCampaign name.
brand_profile_idNoLocal Raven brand profile ID.
product_or_offerYesProduct, service, feature, or offer.
source_asset_idsNoRaven creative asset IDs to use as source/reference.
variants_per_formatNoHow many draft job variants per format. Default 2.
Behavior3/5

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

Annotations include destructiveHint=true, which aligns with the description's mention of optionally creating draft generation jobs. However, the description does not elaborate on side effects like state changes, persistence, or reversibility, leaving some behavioral gaps.

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, front-loaded with the core action. No fluff or repetition. Every sentence adds value.

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 exists, yet the description does not explain what the tool returns (e.g., campaign plan, job IDs). With 10 parameters and a planning purpose, more context on the response would improve completeness.

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 a list of example workflows but no detailed parameter semantics beyond what the schema provides. Baseline 3 is appropriate.

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 plans a multi-asset creative campaign and optionally creates draft generation jobs, using specific verbs and resource. It lists example workflows (product photos, UGC/video ads, etc.), distinguishing it from sibling tools that focus on specific audits or generation tasks.

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?

No explicit when-to-use or when-not-to-use guidance is provided. The description mentions 'Higgsfield-like workflows' but does not compare with alternatives or state prerequisites. Usage context is implied but not explicit.

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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