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hermoso-ai

Hermoso

Official

Save a creator

save_creator

Add a portrait to the reusable cast to keep the same person in future ads. Pass a public image URL and a name to save their likeness for generator tools.

Instructions

Add a portrait to this workspace’s reusable CAST so the SAME person can star in future ads — the headless twin of the app’s + ▸ Pick a creator ▸ save. Pass the portrait’s public url (a generate_image render of a person, a headshot, any public photo) plus a name to call them by; from then on list_creators returns them and their url can be re-passed to generate_avatar / generate_video / recast_motion. Saving is FREE and renders nothing. LIKENESS — source says what the portrait IS: leave it "generated" for an AI-made person, and use "upload"/"social" ONLY for a REAL person. Pass consented:true only when the user has told you that person agreed to their likeness being used; never assert that on their behalf.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
lookNotheir canonical wardrobe/appearance in words — reused to hold the look steady across ads
nameYeswhat to call this creator (e.g. “Sarah”) — list_creators and the app’s picker match on it
imageYespublic https url of the portrait (an existing render’s url, or any public photo). Not a local file path — upload it with upload_file first and save the url that returns
posesNoup to 4 extra full-body / angle plates of the SAME person (public urls) — they make a wider shot hold the identity
voiceNoa default voice name for this persona (engines + voices are in hermoso_capabilities)
sourceNo"generated" (default) = an AI-made person; "upload" / "social" = a REAL person
consentedNoREAL people only: the user has confirmed that person consented to their likeness being used in ads

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv0.1.161

TDQS

A4.5/5.0
Behavior5/5

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

With annotations limited to default false flags (readOnlyHint false, destructiveHint false), the description carries the behavioral burden and delivers: it discloses the persistence side effect (creator appears in list_creators), the cost profile ('Saving is FREE and renders nothing'), and the consent policy ('never assert that on their behalf'). No contradiction with annotations — readOnlyHint false is consistent with a write operation.

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 but front-loaded with the core purpose, and the 'LIKENESS —' section break organizes the parameter guidance. Every sentence carries actionable information, though the length is substantial and there is slight redundancy with the schema text for image and name.

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?

For a 7-parameter tool with no output schema and sparse annotations, the description covers purpose, prerequisites (upload_file for local files), side effects, cost, and consent constraints thoroughly. The only gap is that no direct return value is described, though 'from then on list_creators returns them' partially compensates by telling the agent how to verify the result.

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 coverage is 100%, so the baseline is 3. The description adds meaningful semantics beyond the schema, particularly for source ('leave it "generated" for an AI-made person, and use "upload"/"social" ONLY for a REAL person') and consented ('only when the user has told you that person agreed to their likeness being used'). This elevates it above the schema-only baseline.

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 uses a specific verb and resource — 'Add a portrait to this workspace's reusable CAST so the SAME person can star in future ads' — and explains the persistence effect. It distinguishes itself from siblings by naming its downstream consumers (list_creators, generate_avatar, generate_video, recast_motion) and referencing the app's picker-save flow, so an agent can tell it apart from related creator tools.

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?

It provides clear workflow context: pass a public url, use upload_file first for local paths, and after saving use the url with the listed generation tools. It also gives strong conditional rules for source and consented. It does not explicitly name a when-not-to-use alternative, though no direct sibling substitute for saving a creator exists.

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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