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search_products

Search POPS4 wholesale branded identity infrastructure catalog. 70,000+ products (11,060 live detail pages) across 30+ categories. Custom logo imprinting available on all items. Returns products with wholesale pricing, images, and direct links to virtual proof pages where buyers can see their logo on the product.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
brandNoPOPS4 for corporate/wholesale, Prosecco4 for weddings/events
limitNoMax results to return (default 10, max 50)
queryNoText search on product title (e.g., "nike backpack", "yeti tumbler", "branded polo")
categoryNoProduct category filter (e.g., "Backpacks", "Drinkware", "Apparel", "Pens")
occasionNoFilter by occasion/use case
price_maxNoMaximum wholesale price in USD
price_minNoMinimum wholesale price in USD

TDQS

A3.7/5.0
Behavior3/5

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

No annotations are present, so the description carries the transparency burden. It adds useful context such as '70,000+ products (11,060 live detail pages)' and mentions virtual proof pages, but it does not disclose behavioral nuances like how search matching works or any limitations. It's above the tautology level but not deeply transparent.

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

Conciseness4/5

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

The description is 4 sentences, front-loaded with the primary purpose, followed by scale and return details. The sentence about custom logo imprinting is slightly tangential but still relevant to the catalog. No waste or repetition.

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?

With no output schema and no annotations, the description explains returns (wholesale pricing, images, proof page links) and gives a sense of scope (70k+ products, 30+ categories). It lacks guidance on pagination or result interpretation but is reasonably complete for a search tool given the schema's parameter documentation.

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?

Schema description coverage is 100%, so the baseline is 3. The description does not add meaning to parameters beyond what the schema already provides—it only mentions the general catalog context. Schema entries like 'Text search on product title' and the brand enum already handle parameter understanding.

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 states a specific verb ('Search'), a specific resource ('POPS4 wholesale branded identity infrastructure catalog'), and enumerates what is returned (products with wholesale pricing, images, and proof page links). This clearly differentiates it from siblings like get_product (single item) and get_product_catalog (full catalog).

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

Usage Guidelines3/5

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

The description implies usage for searching a large catalog but does not explicitly state when to use this tool vs alternatives like get_product or get_product_catalog. It provides context about scale and returns but lacks exclusions or explicit alternative recommendations.

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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TDQS

B3.4/5.0
Disambiguation2/5

get_quote and get_live_quote both return wholesale quotes for product SKUs and quantities, differing only in context (enterprise events vs. general). get_product_catalog and search_products both search the catalog with filters, making the boundary between them unclear. These overlaps can lead to agent misselection.

Naming Consistency4/5

All tools use snake_case with a verb_noun pattern (get_, generate_, search_, track_). There are minor deviations where similar actions use different verbs (e.g., get_product_catalog vs. search_products, get_quote vs. get_live_quote), but the overall pattern is consistent and predictable.

Tool Count5/5

With 10 tools, the server is well-scoped for its purpose. Each tool covers a distinct aspect of the procurement and event management domain, and the count falls within the ideal 3-15 range, earning its place without feeling bloated.

Completeness3/5

The server covers product discovery, catalog browsing, quotes, event program generation, and shipment tracking. However, there is no tool for placing an order or managing event records, and the link between quotes and orders is unclear, leaving notable gaps in the end-to-end procurement workflow.