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generate_8_rotations_v3

Generate 8 directional rotations from a single source frame. Provide one image and the model produces all 8 views.

Instructions

Generate 8 directional rotations from a single source frame using the v3 model. Simpler than generate_8_rotations — just provide one image and the model produces all 8 views. Does NOT create a persistent character; use create_character_8dir for that.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
seedNoSeed for reproducible generation (0 for random, default 0)
first_frameYesSource frame to rotate into 8 directions
no_backgroundNoRemove background from generated frames
Behavior3/5

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

No annotations are provided, so the description carries full burden. It discloses a key behavioral trait (does not create persistent character) but does not explain what happens to the generated images (e.g., returned or saved), output format, or any potential rate limits or authentication needs.

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?

The description is two sentences, front-loaded with the core action, and contains no superfluous information. Every sentence earns its place.

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

Completeness3/5

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

The description correctly distinguishes from siblings but fails to explain the return value (no output schema). For a tool with 3 parameters and no output schema, it should clarify how the generated images are returned (e.g., URLs, base64 data). This gap makes it moderately incomplete.

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%, so all parameters are already documented. The description adds 'just provide one image' which aligns with the 'first_frame' parameter but does not add meaningful semantic depth beyond what the schema provides.

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 tool generates 8 directional rotations from a single source frame using the v3 model. It distinguishes itself from the sibling 'generate_8_rotations' by claiming it is simpler, and from 'create_character_8dir' by stating it does not create a persistent character.

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 provides clear guidance on when to use this tool vs alternatives: it compares with 'generate_8_rotations' (simpler) and explicitly recommends using 'create_character_8dir' for persistent characters. However, it does not mention any prerequisites or conditions (e.g., image requirements).

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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