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download_model

Download completed 3D models to local files in their original format. Use convert_format first for different 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
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 that this tool downloads to a local file and requires a completed task, but doesn't mention authentication needs, rate limits, file size constraints, or what happens if the task isn't completed. It adds some context about format handling but lacks comprehensive behavioral details.

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 usage guidance. There's zero wasted language and it's front-loaded with the primary function.

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 has an output schema (which handles return values), 100% schema coverage, and clear purpose/guidelines, the description is mostly complete. However, as a download operation with no annotations, it could benefit from mentioning potential behavioral aspects like file size limits or download location defaults.

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%, providing full documentation of both parameters. The description adds value by explaining the relationship between 'format' parameter usage and the 'convert_format' alternative, but doesn't provide additional semantic context beyond what's in the schema descriptions. This meets the baseline for high schema coverage.

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 rather than downloading. It explicitly contrasts with the alternative workflow for different formats.

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 ('Download a completed 3D model') versus when to use an alternative ('If you need a different format, run convert_format first, then download the conversion task'). It clearly names the alternative tool and specifies the sequence of operations.

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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