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walmart_reviews

Scrape Walmart product reviews by providing a reviews page URL. Get ratings distribution, individual reviews, and top positive/negative feedback.

Instructions

Scrapes Walmart product reviews by passing any Walmart reviews page URL, returning ratings distribution, individual reviews, and top positive/negative feedback. [Credits: 5 API credits per successful request.] Notes: No domain/country localization or explicit pagination parameters documented; pagination (if supported) would need to be embedded in the passed reviews URL. Returns: { product: { name, url, overall_rating, total_count, ratings: [{stars,count}], top_positive: {title,text,rating,review_submission_time,user_nickname,customer_type}, top_negative: {...same shape...}, reviews: [{position,title,text,rating,review_submission_time,user_nickname,customer_type}] } }

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYesThe full Walmart reviews page URL (e.g. https://www.walmart.com/reviews/product/317408869).
Behavior4/5

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

With no annotations, the description carries full burden. It discloses credit usage, return format, and limitations on pagination and localization. Does not mention rate limits or error handling, but adds useful behavioral context.

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?

Description is structured with a clear purpose statement, followed by notes and return format. It is somewhat long but organized, with front-loaded key information. Some minor redundancy could be trimmed.

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?

Despite no output schema, the description details the full return structure and notes important limitations. For a single-parameter tool, it provides comprehensive context, making it self-contained for an agent.

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 coverage is 100%, so baseline is 3. The description adds minimal extra context beyond the schema's description of the 'url' parameter, mainly giving an example URL. Does not significantly enhance semantics.

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?

Clearly states it scrapes Walmart product reviews and returns ratings distribution, individual reviews, and top positive/negative feedback. Distinguishes from siblings like walmart_product and walmart_search by specifying the input is a reviews page URL.

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?

Provides some usage context (no pagination parameters, credits cost) but does not explicitly state when to use this tool versus alternatives like walmart_product. Lacks direct guidance on when not to use.

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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