A
licenseA
qualityD
maintenanceKlarna-style product discovery for AI shopping agents. Makes product catalogs machine-readable so AI agents can search, compare, and purchase products programmatically.
6
MIT
Promas
by szqiel
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TDQS
B3.4/5.0
Scored across 4 tools
Disambiguation5/5
The three primary tools have clearly distinct purposes: fetch_product_images performs full discovery and scraping, search_product_urls only finds URLs, and scrape_single_url extracts images from a provided URL. The fourth tool is explicitly marked as a backward-compatible alias, so no genuine ambiguity exists.
Naming Consistency4/5
The main tools follow a verb_noun pattern (fetch_product_images, search_product_urls, scrape_single_url), but the alias get_product_images_tool breaks the pattern by using 'get' and a '_tool' suffix. This is a minor deviation, as the alias is clearly labeled and does not detract from the overall predictability.
Tool Count5/5
With only 4 tools, the server is well-scoped. Each core tool serves a distinct stage in the product image retrieval workflow (discovery, extraction, combined pipeline), and the alias is a harmless addition. The count fits comfortably within the ideal range.
Completeness5/5
The tool surface completely covers the domain: it offers discovery-only (search_product_urls), extraction-only (scrape_single_url), and a comprehensive pipeline (fetch_product_images). There are no obvious dead ends or missing operations for the stated purpose of retrieving product images.
Maintenance
ActivityMaintained
ResponsivenessNo issues