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NAJEMWEHBE

unreal-ai-connection

marketplace_search

Search free CC0 asset marketplaces for textures, HDRIs, and models by keyword. Returns a normalized list of matches from Polyhaven and AmbientCG for easy selection and import.

Instructions

Search free CC0 asset marketplaces (Polyhaven, AmbientCG) for textures / HDRIs / models matching a keyword and return a normalised list of matches. SYNTHETIC bridge-side handler — fetches the source's public JSON catalog via plain HTTPS (no auth, no API key). Asset files are CC0 (public domain, free for any use including commercial). API-access terms differ from asset terms: the Polyhaven public API at api.polyhaven.com is licensed for non-commercial and academic use only — commercial integrations require a custom license from Poly Haven (https://polyhaven.com/our-api). AmbientCG asset terms are similarly CC0 with their own API ToS. Pair with marketplace_import to actually download and import a chosen result.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryNoSearch keyword(s). Matched against name, tags, and categories on the source side. Empty string = list popular assets.
sourceNoMarketplace to query. 'polyhaven' (default), 'ambientcg', or 'all' to fan out across both.
asset_typeNoAsset class filter. 'texture' (default), 'hdri', 'model', or 'all'.
limitNoMax results to return (default 10, max 50).
Behavior5/5

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

With no annotations, the description carries full burden and thoroughly explains synthetic bridge-side handler, HTTPS fetch, no auth, no API key, and CC0 asset licensing details, ensuring behavioral transparency.

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

Conciseness3/5

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

The description is verbose with extensive licensing details, which though valuable, could be condensed. It is well-structured but slightly wordy.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Covers most aspects but lacks detail on the output structure ('normalised list') and how results integrate with marketplace_import. Adequate given no output schema.

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

Parameters4/5

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

Schema coverage is 100% (baseline 3). Description adds value by explaining search behavior (matches name/tags/categories), default behavior for empty query, and defaults for source, asset_type, and limit.

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 searches free CC0 asset marketplaces (Polyhaven, AmbientCG) for textures/HDRIs/models and returns a normalized list, distinguishing it from sibling marketplace_import.

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?

Provides context on when to use (searching CC0 assets), notes licensing distinctions, and suggests pairing with marketplace_import. Missing explicit exclusions but covers key usage scenarios.

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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