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HasData

hasdata-mcp

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google_serp_immersive_product: GET /

hasdata_google_serp_immersive_product_getImmersive_e29f691177

Retrieve full product details and multi-store offers from Google Shopping's immersive pop-up using a page token. Supports additional stores and pagination for price comparison and merchant discovery.

Instructions

Get Immersive Product Information

Expands the Google Shopping Immersive Product pop-up given an immersiveProductPageToken from the Google Shopping API, with optional moreStores (up to ~13 merchants instead of 3–5) and nextPageToken for paginating stores. Returns multi-store offers (merchant, price, shipping, condition, URL), product specs, images, ratings, and the nextPageToken. Use for price-comparison bots, merchant discovery, dropshipping research, and aggregating full offer lists per product.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pageTokenYesToken for displaying more product info in the Google immersive pop-up, available in the Google Shopping API response as the `immersiveProductPageToken` property.
moreStoresNoFetch additional store results in a single search. By default it returns 3–5 stores, and when true it returns up to 13 or the maximum available for the product.
nextPageTokenNoToken used to retrieve the next page of store results.
Behavior4/5

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 moreStores returns up to 13 merchants instead of 3-5, and lists output fields (offers, specs, images, ratings, nextPageToken). It does not cover rate limits or auth, but for a read tool, this is adequate.

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?

The description is a single well-structured paragraph that front-loads the purpose. It is not overly verbose, though it could be slightly more concise.

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

Completeness5/5

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

Given no output schema, the description explains the return values (multi-store offers, specs, images, ratings, nextPageToken). It covers what the tool does, its parameters, and typical use cases, making it complete for the context.

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%, so baseline is 3. The description adds value by explaining that moreStores fetches up to 13 merchants and nextPageToken paginates results, which is beyond the schema 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 the tool retrieves immersive product information from Google Shopping, using a specific verb 'Get' and identifying the resource. It distinguishes itself from sibling tools by specifying it expands the immersive pop-up, not general search or 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 Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description lists use cases like price-comparison bots and merchant discovery, and explains when to use optional parameters. However, it does not explicitly state when to avoid this tool in favor of siblings, so it lacks exclusions.

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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