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Create Character

antix_create_character

Create a NEW persistent AIGE character from an image. Use when the user names a person in a photo — 'name her Aurorra', 'this is my model, call her X', 'create a character named Y from this image'.

Inputs: name (how the user refers to them), avatarUrl (HTTPS URL or base64 data URL of the face/identity image — same input rules as antix_set_character_avatar; if the client can't forward bytes, the user can upload at https://aige.ws/r and paste the short URL), optional description (style/era/vibe), optional galleryUrls (up to 8 extra reference images to seed the reference gallery).

Effects: writes to the same collection the AIGE web app uses, so the character appears in the aige.ws character switcher immediately. The returned characterId can be passed straight to antix_generate_image / antix_generate_image_batch / antix_generate_video for face-consistent generation.

Returns: characterId, name, avatarUrl, galleryCount, characterPageUrl.

Input Schema

NameRequiredDescriptionDefault
nameYesThe character's name as the user wants to refer to them (e.g., 'Aurorra').
avatarUrlYesHTTPS URL of the avatar image (typically the attached image URL the user just uploaded).
descriptionNoOptional short description of the character (style, era, vibe).
galleryUrlsNoOptional additional reference image URLs to seed the character's gallery.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.8/5.0
Behavior5/5

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

Annotations only declare idempotentHint=false and destructiveHint=false; the description goes well beyond by disclosing where the write lands (the same collection the AIGE web app uses), the observable effect (character appears in the aige.ws switcher immediately), and the downstream reuse of characterId. The base64/upload fallback note is real operational context not present in structured fields.

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?

Bold-labeled Inputs / Effects / Returns blocks make it scannable and the trigger example is front-loaded before the mechanics. Slightly long, with a few lines (name, gallery count) that re-state schema text, but nearly every block adds something the structured data lacks.

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?

No output schema exists, and the description compensates with an explicit Returns list (characterId, name, avatarUrl, galleryCount, characterPageUrl). Combined with the Effects and input-handling notes, an agent has everything needed to call this correctly and to use 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 earns above baseline by clarifying that avatarUrl accepts a base64 data URL as well as an HTTPS URL (the schema says only 'HTTPS URL of the avatar image') and by explaining what galleryUrls seeds ('up to 8 extra reference images to seed the reference gallery'). The name/galleryItems details largely restate the 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?

States a specific verb + resource ('Create a NEW persistent AIGE character from an image') and the capitalized 'NEW' plus the persistence framing separates it from siblings like antix_set_character_avatar and antix_add_to_character_gallery. An agent can identify the operation without opening the schema.

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

Usage Guidelines5/5

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

Gives explicit trigger phrasing ('name her Aurorra', 'this is my model, call her X', 'create a character named Y from this image') and chains forward to antix_generate_image / antix_generate_image_batch / antix_generate_video via the returned characterId. It also names the sibling whose input rules apply and offers a fallback upload path when the client can't forward bytes.

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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