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get_product_images_tool

Retrieve high-resolution product images and links from e-commerce using a query, with optional site filter and image count limits.

Instructions

Backward-compatible alias for fetch_product_images.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYes
max_imagesNo
site_filterNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesSearch query or URL requested
titleNoTitle of the matched product or primary page
imagesNoArray of high-resolution image URLs
statusYes'success' or 'error'
error_messageNoError message if scraping failed
sources_scrapedNoURLs or domains scraped
Behavior1/5

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

No annotations are present, so the description bears the full burden of behavioral disclosure — and it says nothing about behavior. An alias claim implies identical behavior to fetch_product_images, but the description never states what that behavior is: no filtering semantics, no read-only guarantee, no output format, no side effects.

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 text is a single, well-front-loaded sentence with no waste. However, its brevity is achieved at the expense of substantive content — it conveys a single fact (alias target) and nothing else, so conciseness is not paired with information density.

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

Completeness1/5

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

Despite having an output schema (which excuses return-value explanation), the tool still needs to explain its behavior and parameters. With 3 undocumented parameters, no annotations, and zero behavioral description, an agent cannot reliably decide to call it or construct valid arguments. The alias reference defers all meaningful context to an unseen sibling.

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

Parameters1/5

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

Schema description coverage is 0% and the description mentions none of the three parameters (query, max_images, site_filter). The schema itself contains no descriptions and no enums, so the agent is left with bare type information and defaults, with zero guidance on semantics — including what query expects or how site_filter behaves.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose2/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states only that it is an alias for fetch_product_images, never that it retrieves product images. The actual function must be inferred from the tool name and the sibling's identity. This is a meta-description referencing another tool rather than a description of the tool's own purpose — close to a tautology of the name.

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

Usage Guidelines2/5

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

The description identifies fetch_product_images as the canonical target but gives no guidance on when to call this alias versus the canonical tool, nor any information on how it relates to search_product_urls or scrape_single_url. No context is given on preferred use cases.

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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