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hermoso-ai

Hermoso

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Draft brand profile

draft_brand

Create a brand profile by scraping a website domain, free-text description, or social handle. Returns brand name, products, and logo for ad planning.

Instructions

Onboard a brand profile — from a website domain, a free-text description, or a social handle — into a {name, products, logo, …} object you can pass to plan_ad / generate. 0 ScrapeCreators credits. IMPORTANT: a domain can resolve to a DIFFERENT company than intended (e.g. bala.com is an engineering firm, not the Bala fitness brand at shopbala.com). Before spending any credits on research or renders, VERIFY the returned name (and summary) match the brand the user meant; if it looks wrong, re-draft with the correct domain or a description (pass save:false until confirmed) — this tool cannot ask the user, so the caller owns that check.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
saveNosave as the workspace’s brand (like Studio onboarding) so plan_ad/create use it automatically. Default: saves only when NO brand is saved yet; pass true to overwrite, false to never save
domainNoa website to scrape
platformNoplatform for socialHandle (instagram/tiktok/…)
descriptionNoa free-text brand description (no website)
socialHandleNoa social handle to draft from (influencers/creators) — pair with platform

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
logoNothe detected logo URL
nameNothe drafted brand name — VERIFY it matches the brand the user meant
sellsNowhat the brand sells
domainNothe brand website domain (empty for non-website drafts)
paletteNothe brand colors
summaryNoa short positioning summary
categoryNothe detected category
productsNothe detected products
productImagesNoproduct photo URLs
Behavior4/5

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

Beyond annotations, description reveals it consumes 0 ScrapeCreators credits, can save a brand (with default behavior), and importantly, it cannot ask the user for clarification, placing the verification burden on the caller. No contradictions with annotations.

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?

The description is well-structured, starting with the core purpose, followed by credit cost, then an important caveat in all caps. It is moderately lengthy but each sentence adds necessary context. Could be slightly tighter but still good.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool has 5 parameters with full schema coverage and an output schema, the description covers all essential behavioral aspects, including edge cases (domain resolving to wrong company) and workflow (use save:false). It leaves no gaps for safe usage.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, but the description adds value by explaining the interplay between parameters (e.g., domain vs. description, socialHandle+platform) and the save behavior (default, overwrite, never). This is more than just repeating schema.

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 verb 'onboard' and the resource 'brand profile', lists specific input sources (domain, description, social handle), and explains the output format (an object with name, products, logo). It differentiates from sibling tools like list_brands and scrapecreators_fetch by focusing on creation versus listing or scraping.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Provides explicit guidance on when to use (to onboard a brand) and a critical caveat: the user must verify the returned name against the intended brand, with advice to re-draft if wrong and use save:false until confirmed. It does not explicitly name sibling tools as alternatives but the context is clear.

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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