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Walmart Intelligence ST: walmart/product Analysis API

nexscope_data_st_walmart_product_analysis
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Walmart Intelligence ST: walmart/product Analysis API.

Input Schema

NameRequiredDescriptionDefault
nameNo`searchByName` required; non-empty natural language product name
operationNoRequired; only `searchByName`, `detail`, `trend`, `salesVolume`
pageIndexNo`searchByName`, `salesVolume` starts from 1, defaults to 1; maximum 100 items per page
productIdNo`detail`, `trend`, `salesVolume` required; not empty Walmart ProductId
queryDateNoStart date in the format `yyyy-MM-dd`
queryEndDateNoEnd date, in the format of `yyyy-MM-dd`; when only the start date is given, the default is the current day

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

D1.9/5.0
Behavior2/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false, and openWorldHint=true, so the safety profile is covered structurally. The description adds zero behavioral context beyond the title — nothing about what the four operations return, whether data is live or cached, rate limits, or Walmart marketplace coverage. Some credit only because annotations carry the safety burden.

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 single sentence is short but earns nothing — it merely duplicates the title and tool name. This is under-specification masquerading as conciseness rather than efficient front-loading of useful information.

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

Completeness1/5

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

This is a multi-operation, six-parameter tool with no output schema and no annotations explaining returns. The description says nothing about the four operations, what each returns, or how results differ — an agent cannot safely choose it over the many sibling Walmart tools from this text alone.

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 the schema itself documents all six parameters, including the operation enum (`searchByName`, `detail`, `trend`, `salesVolume`) and the conditional requirements for `name` vs `productId`. Per the baseline rule, a 3 applies when the schema does the heavy lifting, even though the description contributes nothing about parameters.

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

Purpose2/5

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

The description only restates the title: 'Walmart Intelligence ST: walmart/product Analysis API.' It names a domain (Walmart) and a vague resource ('product Analysis') but gives no verb describing what the tool actually does — search, detail lookup, trend, or sales volume. It is effectively a tautology that gives an agent no more information than the tool name.

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

Usage Guidelines1/5

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

There is no guidance whatsoever on when to use this tool, no prerequisites, and no mention of alternatives. This is especially harmful given the existence of near-identical siblings such as nexscope_walmart_product_analysis, nexscope_walmart_product_detail, nexscope_walmart_search, nexscope_data_st_walmart_category_market, and nexscope_data_st_walmart_keyword_research, with nothing to distinguish them.

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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