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download_model

Download completed 3D models to local files in their original format. Use convert_format first if you need different file formats like GLTF, FBX, OBJ, STL, USDZ, or 3MF.

Instructions

Download a completed 3D model to a local file using the task's actual output format. If you need a different format, run convert_format first, then download the conversion task.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
taskIdYesTask ID of the completed generation
formatNoOptional expected task output format to validate: GLTF, FBX, OBJ, STL, USDZ, or 3MF. Use convert_format before download_model to change formats.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
filePathYes
formatYes
taskIdYes
modelVersionNo
Behavior4/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It effectively describes key behaviors: that it downloads to a local file, works with completed tasks, uses the task's actual output format, and requires format conversion as a prerequisite step when needed. However, it doesn't mention potential limitations like file size restrictions, download time, or authentication requirements.

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 perfectly concise with two sentences that each earn their place. The first sentence states the core purpose, and the second provides crucial workflow guidance. There's zero wasted language, and the most important information is front-loaded.

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 presence of an output schema (which handles return values), 100% schema coverage for parameters, and no annotations, the description provides strong contextual completeness. It covers purpose, workflow, and prerequisites well. The only minor gap is the lack of mention about potential behavioral constraints like rate limits or file size limits.

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?

With 100% schema description coverage, the schema already documents both parameters thoroughly. The description adds minimal value beyond the schema by mentioning 'using the task's actual output format' and the convert_format workflow, but doesn't provide additional parameter semantics beyond what's in the schema descriptions.

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 specific action ('Download a completed 3D model to a local file') and resource ('using the task's actual output format'), distinguishing it from sibling tools like convert_format (which changes formats) or list_models (which lists models). It explicitly mentions the tool's scope and how it differs from alternatives.

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?

The description provides explicit guidance on when to use this tool vs alternatives: 'If you need a different format, run convert_format first, then download the conversion task.' This clearly defines the proper workflow and distinguishes it from convert_format, which must be used first for format changes.

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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