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shopsavvy

ShopSavvy Data API MCP Server

Official
by shopsavvy

product_lookup_batch

Look up multiple products at once by entering comma-separated barcodes, ASINs, or URLs to retrieve product data and pricing information.

Instructions

Look up multiple products at once using comma-separated identifiers

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
identifiersYesComma-separated list of product identifiers (barcodes, ASINs, URLs, etc.)
Install Server

TDQS

A3.8/5.0
Behavior3/5

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

With no annotations provided, the description carries the full burden. 'Look up' implies a read operation, and 'multiple products at once' conveys batching behavior. It does not disclose limits on identifier count, handling of invalid/unknown identifiers, or partial-failure behavior, which would be valuable for a batch tool.

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

Conciseness5/5

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

A single, front-loaded sentence that conveys the core operation, scope, and input format without wasted words. It earns its place and is easy to parse quickly.

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?

For a simple one-parameter tool, the description plus schema adequately cover how to invoke it. It is slightly incomplete only in not specifying what the batch response contains or any practical batch-size limits, but these are minor gaps given the simplicity of the tool.

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 schema already fully documents the identifiers parameter. The description only restates the comma-separated format without adding meaning beyond the schema, so the baseline 3 is appropriate.

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?

States a specific verb ('Look up') and resource ('multiple products'), with the key batching mechanism ('comma-separated identifiers') included. This clearly distinguishes it from the sibling product_lookup tool, which presumably handles a single product.

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 phrase 'multiple products at once' implies this tool is for batch lookups rather than single-product lookups, and the input format gives a usage hint. However, it never explicitly contrasts it with product_lookup or states when alternatives like product_offers or product_price_history should be used instead.

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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