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Query products

query_products
Read-only

Returns synchronized product listings filtered by SKU, ASIN, parent ASIN, or title, including prices and listing status.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "storeId": "<storeId>"
    },
    "name": "query_products"
  }
}

Input Schema

NameRequiredDescriptionDefault
skusNo
asinsNo
limitNo
titleNoLiteral title substring; omit for no title filter.
offsetNo
statusNoListing status: ACTIVE (on sale), INACTIVE (inactive), INCOMPLETE (incomplete). Omit for all statuses.
storeIdYesAuthorized sellerId:marketplaceId.
parentAsinsNo
fulfillmentChannelNoFulfillment channel.

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

B3/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false and openWorldHint=false, so the safety profile is covered elsewhere. The description adds only the word 'synchronized' as a data-freshness hint and says what fields come back; it omits pagination behavior despite limit/offset parameters and gives no fan-out expectations for parent-ASIN queries.

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?

A single front-loaded sentence with no filler; every clause carries content (filters, returned fields). It is dense but readable, and slightly more structure would have helped separate what it returns from how it filters.

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

Completeness3/5

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

An output schema exists, so return-value detail is unnecessary, and annotations cover the read-only profile. However, for a 9-parameter listing tool with 44% schema coverage, the description leaves pagination and default result sizing unexplained, which is the main thing an agent needs beyond the schema.

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

Parameters2/5

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

Schema description coverage is only 44%, and limit and offset have no descriptions anywhere, so the description needed to compensate and does not. It does restate the four identifier filter dimensions, but it adds nothing about pagination, result caps (maxItems 100), or the exact-match semantics that the schema only partially conveys.

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 (returns product listings) plus the filter dimensions and the payload contents (prices, listing status), which is enough to distinguish it from query_product_detail or query_inventory. It stops short of naming the sibling it is not, so an agent must still infer the boundary from sibling names alone.

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?

There is no when-to-use guidance: nothing says whether this is the tool for bulk/browse retrieval versus looking up a single product with query_product_detail, or how it relates to query_inventory for stock questions. The closest thing to guidance is the list of accepted filters, which is parameter information rather than usage context.

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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