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hermoso-ai

Hermoso

Official

The hook + setting libraries, and which hooks are working

list_hooks
Read-only

View curated scroll-stop hooks and their measured traction to choose an ad opener deliberately, then check which hooks are landing after publishing.

Instructions

The curated menu of VISUAL scroll-stop HOOKS (how an ad opens) and SETTINGS (where it is staged) that plan_ad and render_ad accept, PLUS this brand's measured traction per hook. Call it before planning an ad to pick a hook deliberately instead of letting the model improvise one, and call it after publishing to see which ones are actually landing. Three things it will not do: it never recommends a hook from thin data — a verdict is SUPPRESSED below 5 measured posts and the reason is stated; it never compares across channels; and it reports hooks you have NEVER TRIED as a fact, not as advice, because 'you haven't tried this' is an observation and 'you should' would be a verdict drawn from zero data. A hook marked unusable in this brief says WHY (an on-screen-text hook cannot ride an authentic/UGC render, which carries zero on-screen text). Read-only, 0 credits.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tierNoproduct tier, used with category — changes the FINISH of the room, never the room. Default premium.
channelNorestrict the performance half to one channel (facebook, instagram, threads, x, linkedin, youtube, tiktok, reddit, pinterest)
categoryNothe product category (e.g. 'skincare serum', 'protein powder', 'sunglasses') — returns the setting our Location x Tier matrix puts that category in, with the reason
authenticNotrue if the planned ad is an authentic/UGC/creator-register render — on-screen-text hooks are then reported unusable, with the reason

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changedv0.1.162
    • changedInput schema / properties / category / description
      Previous value: -"the product category (e.g. 'skincare serum', 'protein powder', 'sunglasses') — returns the setting Higgsfield's Location x Tier matrix puts that category in, with the reason"New value: +"the product category (e.g. 'skincare serum', 'protein powder', 'sunglasses') — returns the setting our Location x Tier matrix puts that category in, with the reason"
  2. Addedv0.1.161

TDQS

A4.3/5.0
Behavior5/5

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

The description goes far beyond the readOnly/destructive annotations by disclosing suppression rules below 5 posts, the refusal to compare across channels, the distinction between untried-hook facts and recommendations, and why unusable hooks are marked so. This gives an agent accurate expectations about output reliability and limitations.

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 dense and front-loaded with purpose, then usage, then limitations. It is longer than average, but most sentences carry important behavioral caveats, so the length is justified.

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

Completeness4/5

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

With no output schema, the description carries the burden of explaining return content, and it does: hooks, settings, traction per hook, suppressed verdicts, and unusable-hook reasons. It stops short of specifying the exact output shape, but it is sufficiently complete for an agent to call and interpret the 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%, and each parameter already has a substantive description. The tool description adds some relational context, especially around authentic renders and on-screen-text hooks, but it does not meaningfully extend the schema's parameter docs.

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 states a specific resource and scope: a curated menu of visual scroll-stop hooks and settings accepted by plan_ad and render_ad, plus measured traction per hook. It clearly distinguishes this from generation/planning tools by its role as the underlying library and performance record.

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?

The description gives explicit timing: call before planning an ad to choose a hook deliberately, and after publishing to see what is landing. It does not name or contrast alternative list/research tools, but the when-to-use guidance is clear and actionable.

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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