Walmart Intelligence ST: walmart/keyword Research API
nexscope_data_st_walmart_keyword_researchWalmart Intelligence ST: walmart/keyword Research API.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
nexscope_data_st_walmart_keyword_researchWalmart Intelligence ST: walmart/keyword Research API.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations declare readOnlyHint=false and openWorldHint=true, implying a non-read, externally-resolving call, but the description says nothing about whether this consumes credits, requires auth, mutates any stored state, or hits rate limits. Because the annotations are sparse, the description carries the full behavioral burden and delivers none of it.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
It is a single short sentence with no padding, so nothing is wasteful in length. However, brevity here is the product of under-specification rather than discipline — the sentence contains no fact an agent could act on beyond the tool name it already has.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
With no output schema, sparse annotations, and a fully open input schema, the description is the only source of context and supplies none. An agent cannot determine what the response looks like, what the free-form properties should contain, or what a successful call yields.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has zero declared properties (additionalProperties: true, no required fields), so per the rules the baseline for a 0-parameter tool is 4. The description adds nothing on inputs, but there is no documented parameter surface it could have explained; the real gap is that the open free-form schema is never acknowledged or explained.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description restates the title verbatim ('Walmart Intelligence ST: walmart/keyword Research API'), which is a tautology rather than a statement of capability. An agent can infer it relates to Walmart keyword data, but it learns nothing about what the tool actually returns or how it differs from siblings like nexscope_walmart_keyword_research, nexscope_data_st_walmart_category_market, or nexscope_data_st_walmart_product_analysis.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no when-to-use guidance, no prerequisites, and no mention of any alternative tool, despite a sibling set containing near-duplicate names (nexscope_walmart_keyword_research vs. this nexscope_data_st_ prefixed variant) that would confuse routing. Nothing in the text helps an agent choose this over the Walmart category, product analysis, or search tools.
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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