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Search products

search_products
Read-onlyIdempotent

Search for products by SKU, name, barcode, ID, or attribute value (color, size, description, …). Optionally filter by product type and by selling price (min_price / max_price, applied on the server). Each match carries its default-tier selling price and its attributes (Color, Size, …). When nothing matches exactly, it returns the closest spellings, which are near matches rather than exact ones.

Input Schema

NameRequiredDescriptionDefault
typeNoOptional product type filter: standard, bundle, matrix, kit, or blemished
queryYesThe search query - product SKU, name, barcode, numeric ID, or an attribute value such as a color
max_priceNoOptional: only products whose default-tier selling price is BELOW this (e.g. "under $20" → 20)
min_priceNoOptional: only products whose default-tier selling price is at least this

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.7/5.0
Behavior4/5

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

Annotations already cover the safety profile (readOnly, idempotent, non-destructive, closed-world), so the bar is lower. The description adds real context beyond them: price filters are applied server-side, results carry default-tier selling price and attributes, and a no-match search returns near spellings rather than exact matches.

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?

Four sentences, front-loaded with the core capability, then filters, then return contents, then fallback semantics. Each sentence carries information; no padding.

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, the description usefully describes what matches carry (default-tier selling price, attributes) and the fuzzy-match fallback. For a read-only search tool this is nearly complete; result limits/pagination are the only notable omission.

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 reinforces meaning ('min_price/max_price applied on the server', price compared against default-tier selling price) but adds little that the schema does not already state.

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

Purpose4/5

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

States a specific verb and resource ('Search for products') and enumerates the searchable keys (SKU, name, barcode, ID, attribute value). It does not, however, distinguish itself from close siblings like find_product and get_products, which an agent will have to disambiguate on its own.

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?

Usage is implied (use this when you have a SKU/name/attribute to look up), and the fallback behavior is described. But no explicit when-to-use vs find_product/get_products, and no exclusion or prerequisite guidance is offered.

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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