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product_search

Search for products across Google Shopping, Amazon, and eBay. Returns prices, ratings, links. Supports country-specific results (DE, US, UK, etc.) and sorting by price or reviews.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoResults per source (1-10, default: 5)
queryNoProduct name or search terms (required)
countryNoCountry code: DE, US, UK, FR, etc. (default: DE)
sort_byNoSort: 'relevance' (default), 'price_low', 'price_high', 'review'
sourcesNoWhich marketplaces: 'all' (default), 'google', 'amazon', 'ebay'

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed4 schema fields changed
    • addedInput schema / additionalProperties
      Added value: +false
    • addedInput schema / properties / country / enum
      Added value: +[
      +  "DE",
      +  "US",
      +  "UK",
      +  "FR"
      +]
    • addedInput schema / properties / limit / maximum
      Added value: +10
    • addedInput schema / properties / limit / minimum
      Added value: +1
  2. First observed

TDQS

A4/5.0
Behavior4/5

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

With no annotations, the description carries the transparency burden. It discloses return content (prices, ratings, links) and key behavioral options (country, sort). It does not mention per-source limits or that query is effectively required, but those are partially covered by the schema.

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?

The description is two sentences with no fluff. It front-loads the core action and target, then provides high-value detail on returns and options.

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 tool with 5 parameters and no output schema, the description plus schema provides a solid overall picture. However, the 'required' ambiguity for query (schema says required in description but not in required array) and lack of return structure prevent a perfect score.

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 baseline is 3. The description adds context about country and sorting, but these are already well-described in the schema's parameter descriptions, so no significant extra meaning is provided.

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 uses a specific verb ('Search') with a clear resource ('products across Google Shopping, Amazon, and eBay') and mentions return content ('prices, ratings, links'). This scope distinguishes it from siblings like bestseller_list or price_alert, even without explicitly naming alternatives.

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 through the description's mention of multi-marketplace search, country-specific results, and sorting options, but it does not explicitly state when to use this tool versus alternatives like compare_prices or track_price.

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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