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download_sketchfab_model

Download and import a Sketchfab model by its UID, scaling it to a chosen target size in Blender units.

Instructions

Download and import a Sketchfab model by its UID.
The model will be scaled so its largest dimension equals target_size.

Parameters:
- uid: The unique identifier of the Sketchfab model
- target_size: REQUIRED. The target size in Blender units/meters for the largest dimension.
              You must specify the desired size for the model.
              Examples:
              - Chair: target_size=1.0 (1 meter tall)
              - Table: target_size=0.75 (75cm tall)
              - Car: target_size=4.5 (4.5 meters long)
              - Person: target_size=1.7 (1.7 meters tall)
              - Small object (cup, phone): target_size=0.1 to 0.3

Returns a message with import details including object names, dimensions, and bounding box.
The model must be downloadable and you must have proper access rights.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
uidYes
target_sizeYes
user_promptNo
Behavior3/5

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

No annotations are provided, so the description carries the burden. It discloses scaling behavior, return message content, and access rights, which is useful. However, it does not mention whether the import is additive to the scene, any failure modes, or potential side effects on existing objects, leaving some behavioral aspects unclear.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is well-structured and front-loaded with the main purpose, followed by scaling behavior, parameter details, return info, and access rights. The parameter examples are helpful but slightly verbose; each sentence earns its place, though it could be tightened.

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 no output schema, the description covers return values (import details) and prerequisites. It also explains the scaling behavior. However, the missing user_prompt parameter and lack of error/edge-case information prevent full completeness for a tool with 3 parameters and no annotations.

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 0%, so the description must explain parameters. It provides detailed semantics for uid and target_size, including units and examples for target_size. However, it completely omits the user_prompt parameter (present in schema), leaving its purpose and usage undocumented.

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 downloads and imports a Sketchfab model by UID, distinguishing it from search, preview, and other download tools. The verb 'download and import' combined with the resource 'Sketchfab model' provides specific scope.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies usage (when you have a Sketchfab UID) but does not explicitly state when to use this tool versus alternatives like search_sketchfab_models or get_sketchfab_model_preview. It includes prerequisites (access rights) but no direct exclusions or alternative recommendations.

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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