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animate_with_text

Create pixel art animations from a text description and reference image. Generates 64x64 frames based on specified actions and direction.

Instructions

Legacy animation from text description + reference image. FIXED 64x64 only. Prefer animate_with_text_v2 (any size 32-256px) or animate_with_text_v3 (keyframe-based) for new work. Use animate_character if you already have a saved character ID.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
seedNoSeed for deterministic generation (default 0)
viewNoCamera angle (default 'side')
actionYesAnimation action (e.g. 'walking', 'attacking')
n_framesNoNumber of frames (default 4)
directionNoFacing direction (default 'east')
image_sizeYesFrame size
color_imageNoColor palette reference image
descriptionYesCharacter description
init_imagesNoInitialization images per frame
mask_imagesNo
reference_imageYesCharacter reference
inpainting_imagesNo
start_frame_indexNoStarting frame index (default 0)
init_image_strengthNoInitial image influence strength (0-1000, default 300)
text_guidance_scaleNoText prompt influence (1.0-20.0, default 7.5)
image_guidance_scaleNoReference image influence (default 1.5)
negative_descriptionNoWhat to avoid in generation
Behavior2/5

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

No annotations provided, so description must disclose behavioral traits. It mentions legacy and fixed size but lacks details on side effects, auth needs, rate limits, or return format. Critical gaps remain.

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?

Description is extremely concise: one sentence on purpose plus two sentences of usage guidance. Every sentence earns its place; front-loaded with key constraint.

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?

Despite high complexity (17 params, 4 required, nested objects) and no output schema, the description only covers legacy nature and size restriction. Missing workflow, expected input/output, and edge cases.

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 88% (high), so baseline is 3. The description adds no parameter-specific info beyond the schema, nor does it compensate for the uncovered 12%.

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 identifies the tool as a legacy animation generator from text and reference image, with a fixed 64x64 size. It distinguishes itself from newer versions (v2, v3) and alternative tools (animate_character).

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?

Explicitly states when to use alternatives: prefer v2 for any size 32-256, v3 for keyframe-based, and animate_character for saved character IDs. Provides clear guidance for selecting the appropriate tool.

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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