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Darshan972

Scrapingdog MCP Server

by Darshan972

Walmart Search API

walmart_search

Scrape Walmart search results from a Walmart search URL to extract product details like titles, prices, and ratings.

Instructions

Scrape Walmart search results from a Walmart search URL.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYesFull Walmart search URL, e.g. https://www.walmart.com/search?q=football.
Behavior2/5

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

With no annotations, the description must disclose behavioral traits. It only states 'Scrape... results,' conveying the basic action but omitting important details such as authentication requirements, rate limits, or the response format. No side effects or limitations are mentioned.

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, concise sentence with no redundant words. It is efficiently structured, placing the action and resource at the beginning.

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

Completeness3/5

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

The description is adequate for a single-parameter tool, but with no output schema and no annotations, it leaves the return format unspecified. An agent would need to know whether 'search results' means product titles, prices, links, etc., making the description minimally viable but not fully complete.

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?

The schema already documents the single 'url' parameter with a clear example, and coverage is 100%. The description adds the phrase 'Walmart search URL' which mildly reinforces the parameter's purpose, but provides no additional semantic value beyond the schema. Baseline 3 is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description uses 'Scrape' as a specific verb and 'Walmart search results' as the resource, clearly stating the tool's function. It differentiates from sibling tools like google_search or amazon_search by naming Walmart, though it does not enumerate the exact fields returned.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

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

No usage guidance is provided. The description does not mention when to use this tool versus alternatives like amazon_search or ebay_search, nor does it state any exclusions or preferred use cases. This leaves the agent without context for tool selection.

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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