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portrait_character_pro

Convert a bust portrait to a full-body character sprite or transform a character sprite back to a portrait. Returns a job ID for polling results.

Instructions

Convert between a bust portrait and a full-body character sprite (Pro). direction='portrait_to_character' takes a portrait in and returns a full-body sprite; 'character_to_portrait' does the reverse. Returns a job_id immediately — poll get_job_status for the result.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
seedNoSeed for deterministic generation (default 0)
viewNoCamera angle of the character (default 'low top-down')
imageYesInput image (a portrait or a character, matching direction)
directionNoConversion direction (default 'portrait_to_character')portrait_to_character
result_sizeNoOutput sprite size in pixels (default 64). 128/160 render at 2K for extra detail and cost more
Behavior3/5

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

With no annotations, the description carries the full burden. It correctly discloses the async behavior (returns job_id immediately) but does not mention potential errors, auth requirements, or side effects. The description is adequate but not rich.

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-loading the main purpose and then detailing the directions and async workflow. Every sentence adds value, and no redundant information is present.

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?

Given the tool's complexity (5 parameters, async) and lack of output schema, the description covers the essential: what it does, how to use it, and the return type. It could be more complete by explaining the job polling process, but it is still adequate.

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 100%, so the baseline is 3. The description reinforces the direction parameter but adds little beyond schema details like seed, view, image structure, and result_size costs. No new parameter insight.

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 converts between a bust portrait and full-body character sprite, with explicit direction options. This specific verb-resource combination distinguishes it from sibling tools like list_characters or get_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 explains the two conversion directions and notes that the tool is async, instructing the agent to poll get_job_status for results. This provides clear usage context. It could mention when not to use it or alternatives, but the specificity suffices.

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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