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kjanat

BlenderMCP

by kjanat

search_sketchfab_models

Search Sketchfab for 3D models using a text query, optional category filters, and a toggle for downloadable items, then receive a formatted list of matches for integration into Blender.

Instructions

Search for models on Sketchfab with optional filtering.

Parameters:
- query: Text to search for
- categories: Optional comma-separated list of categories
- count: Maximum number of results to return (default 20)
- downloadable: Whether to include only downloadable models (default True)

Returns a formatted list of matching models.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
countNo
queryYes
categoriesNo
downloadableNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

With no annotations provided, the description carries the burden of behavioral disclosure. It reveals that the tool returns a formatted list, states defaults (count=20, downloadable=True), and implies a read-only operation. It does not detail errors or rate limits, but these are typical and acceptable for a search tool.

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 compact: a purpose sentence, a parameter list, and a return statement. No fluff, all sentences carry informative weight, and it is front-loaded with the verb+resource.

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?

For a tool with four parameters and an output schema, the description covers all parameter semantics and return type. It does not discuss error handling or pagination, but those are not essential for a search tool and the output schema likely covers return details. Slightly more context about the data source could make it a 5.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The description explains every parameter in plain language: query text, categories comma-separated, count max results, downloadable filter. Since schema coverage is 0%, this fully compensates for the schema's lack of descriptions, providing meaningful semantics beyond type definitions.

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 uses a specific verb 'Search' and resource 'models on Sketchfab', clearly distinguishing it from sibling tools like download_sketchfab_model. It also mentions optional filtering, which defines the tool's scope.

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 context: this tool searches Sketchfab models rather than downloading them (as download_sketchfab_model would). However, it does not explicitly mention alternatives or exclusionary conditions, so it stops short of a 5.

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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