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Walmart Search

nexscope_walmart_search
Read-only

Search and browse Walmart product listings by keyword, category, price range, and other conditions. Trigger when users mention Walmart product search, Walmart product listing, Walmart price comparison, Walmart competitor analysis, Walmart product research, Walmart market data, find products on Walmart, Walmart search, Walmart products, Walmart product selection, Walmart pricing, Walmart competitors, Walmart market. Even if the user does not explicitly mention "Walmart search", trigger this skill whenever their need involves searching for products on Walmart, checking product availability, comparing Walmart prices, or analyzing Walmart product listings.

Input Schema

NameRequiredDescriptionDefault
pageNoPage number for pagination, default 1, max 100
sortNoSort method. Options: price_low (price low to high), price_high (price high to low), best_seller (best seller), best_match (best match)
facetNoFilter conditions, format as key:value pairs separated by \
deviceNoDevice type, default desktop. Options: desktop, tablet, mobile
keywordNoSearch keyword, max length 1024 characters. *At least one of keyword and categoryId must be provided
storeIdNoStore ID, used to filter products by a specific store
maxPriceNoMaximum price
minPriceNoMinimum price
softSortNoSort by relevance, default true. Set to false to disable relevance sorting
spellingNoEnable spelling correction, default true. true includes spelling correction, false excludes it
categoryIdNoCategory ID. *At least one of keyword and categoryId must be provided. 0 means all departments. For example: 976759_976787 means "Cookies"
jsonRestrictorNoJSON field restrictor
nextDayEnabledNoOnly show NextDay delivery results, default false. true to enable, false to disable

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.9/5.0
Behavior2/5

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

Annotations already declare readOnlyHint=true, openWorldHint=true, destructiveHint=false, so the safety profile is covered. The description adds nothing behavioral beyond that: no mention of result volume, pagination depth (page max 100), whether results are live vs. cached, or any rate/latency characteristics. With the lower bar set by annotations, this still contributes essentially no extra context.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness2/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The purpose statement is front-loaded and efficient, but it is followed by a bloated keyword-stuffed trigger list that repeats 'Walmart product search / listing / pricing / competitors' a dozen times. That bulk occupies most of the description without adding discriminative information, violating the 'every sentence earns its place' standard.

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

Completeness2/5

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

For a 13-parameter search tool with no output schema, the description should at minimum sketch what a result record contains and note the pagination/result-cap behavior. It does neither, and it omits the schema-only constraint that at least one of keyword/categoryId must be supplied. The agent is left to infer return shape entirely.

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 all 13 parameters (page, sort, facet, device, keyword, categoryId, price bounds, etc.) are already documented in structured fields. The description only echoes the filter families at a high level and adds no syntax, defaults, or interaction rules (e.g., keyword vs. categoryId exclusivity) beyond the schema. Baseline 3 applies.

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 opening sentence names a specific verb+resource ('Search and browse Walmart product listings') and enumerates the filter dimensions (keyword, category, price range). It is clear what the tool does, but it never differentiates itself from near-identical siblings such as nexscope_data_walmart_search or nexscope_walmart_product_analysis, which an agent must disambiguate on its own.

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 long 'trigger when users mention...' list does establish usage contexts (product research, price comparison, availability checks), so usage is implied rather than absent. However, it offers no exclusions and never names an alternative tool — e.g., that product detail lookups belong to nexscope_walmart_product_detail — so the routing decision against siblings is unsupported.

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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