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CTlanston

visual-hunt-mcp

by CTlanston

Search Wallpaper Sites

search_wallpaper_sites
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Search curated wallpaper, photography, and open-license image sources using site-specific adapters with Google fallback. Returns image candidates for posters, wallpapers, and inspiration boards.

Instructions

Search supported wallpaper, photography, archive, and open-license image sources using direct site adapters with Google fallback. Pass sites as either an array of strings or a JSON-array string. Default quality suffix is 'cinematic' (kept for backwards-compat); reduce to 'normal' for noisy queries.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYes
limitNo
sitesNo
Behavior4/5

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

Adds context beyond annotations by explaining the Google fallback, direct site adapters, and quality suffix behavior. No contradictions with annotations.

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?

Two concise sentences that front-load the purpose and provide necessary usage details without fluff.

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?

Covers the main behaviors like fallback and sites flexibility. Lacks details on return format or limit parameter, but the tool is search-style and return is somewhat implied.

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 0% schema description coverage, the description partially compensates by explaining the `sites` parameter format (array or JSON string) and the default quality suffix. However, the `limit` and `query` parameters are not elaborated.

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 verb 'Search', the resource (wallpaper, photography, etc., image sources), and the method (direct site adapters with Google fallback). It distinguishes from siblings like search_google_images by indicating multiple sources.

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 guidance on how to use the `sites` parameter and the default quality suffix. However, it does not explicitly state when to use this tool versus alternatives like search_google_images.

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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