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HasData

hasdata-mcp

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google_serp_product: GET /

hasdata_google_serp_product_getProductInformation

Extract product information from Google Shopping by product ID. Choose from offers, specs, or reviews with filters for free shipping, used condition, price sorting, and seller rating.

Instructions

Get Product Information

Pulls detailed product data from Google Shopping by productId with searchType (offers, specs, reviews) and rich filters (free shipping, used-condition, sort by price/total price/deals/seller rating, reviews count). Returns product title, images, price, ratings, specs, merchant offers (seller, shipping, condition, total price), and review text depending on searchType. Use for price intelligence, catalog enrichment, review mining, competitor spec comparison, and building shopping assistants that surface the cheapest or highest-rated offer.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
productIdYesThe product ID to get results for.
locationNoGoogle canonical location for the search.
uuleNoThe encoded location parameter.
domainNoGoogle domain to use. Default is google.com.
glNoThe two-letter country code for the country you want to limit the search to.
hlNoThe two-letter language code for the language you want to use for the search.
searchTypeNoParameter for fetching specific product information, such as 'offers', 'specs', or 'reviews'.
startNoThis parameter specifies the number of search results to skip and is used for pagination. For example, a value of 0 (default) indicates the first page of results, 10 refers to the second page, and 20 to the third page. This parameter is applicable only when `searchType=offers` is specified. For reviews pagination use `filter` parameter.
filterNoFilter parameter for refining search results. Supports various filters for offers and reviews. Multiple filters can be passed using a comma. The available filters are: Offers filters: - `freeship:1`: Show only products with free shipping. - `ucond:1`: Show only used products. - `scoring:p`: Sort by base price. - `scoring:tp`: Sort by total price. - `scoring:cpd`: Sort by current promotion deals (special offers). - `scoring:mrd`: Sort by seller's rating. Reviews filters: - `rnum:{number}`: Number of results (100 is max).
Behavior3/5

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

With no annotations, the description carries the full burden. It discloses that the tool returns various fields based on searchType, but does not discuss side effects, data freshness, rate limits, or authorization requirements. The read-only nature is implied but not explicit.

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 a single efficient paragraph of five sentences, front-loading the main action, and every sentence adds value without redundancy. It is well-structured and easy to parse.

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?

Given the tool's complexity (9 parameters, no output schema, no annotations), the description covers the main purpose, key parameters, return fields, and use cases. It misses some details like the effect of location/domain parameters and pagination, but the schema descriptions handle those. Suitable for most agents.

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

Parameters4/5

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

Schema coverage is 100%, baseline 3. The description adds value by explaining how searchType and filter parameters affect the output, and lists return fields, compensating for the lack of output schema. This provides meaningful context beyond the parameter descriptions.

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 clearly states it pulls detailed product data from Google Shopping by productId, listing specific fields and searchTypes. It distinguishes from sibling tools like shopping search results which are for queries, not specific product info.

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 use when you have a productId and need detailed product info, but it does not explicitly state when to use it versus alternatives like shopping search or immersive product, nor does it provide when-not-to-use guidance.

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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