Etsy Product Detail
nexscope_etsy_product_detailReturns normalized public ecommerce research data with a fixed read-only provider path.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| productUrl | Yes |
nexscope_etsy_product_detailReturns normalized public ecommerce research data with a fixed read-only provider path.
| Name | Required | Description | Default |
|---|---|---|---|
| productUrl | Yes |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint, openWorldHint and destructiveHint=false, so safety is covered. The description adds only that results are "normalized" public data from a fixed provider path, which is modest but real context about the response shape and provider routing.
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?
A single short sentence with no padding — structurally efficient and front-loaded. Its brevity is not paired with density, though; it is boilerplate that conveys little beyond the annotation hints.
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?
For a one-parameter, read-only lookup with strong annotations and a strict URL pattern, the description need not explain much. But with no output schema, it should say at least something about what a "product detail" payload contains, and "normalized public ecommerce research data" is too abstract to be complete.
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?
There is one parameter at 0% schema description coverage, so the description must compensate and it does not. Fortunately the JSON schema's regex pattern tightly constrains productUrl to etsy.com/listing/<id> URLs, so an agent can still infer the expected input, but the prose contributes nothing.
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 says only that it "Returns normalized public ecommerce research data with a fixed read-only provider path," a generic statement that could apply to hundreds of sibling tools. It never mentions Etsy, a product listing, or the URL input; all specificity comes from the name/title, not the description.
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?
No when-to-use guidance and no differentiation from close siblings such as nexscope_etsy_product_query, nexscope_etsy_store_query, nexscope_data_etsy_product_detail, or nexscope_data_eh_etsy_product_query. The phrase "fixed read-only provider path" faintly implies no provider configuration is needed, but that is the only nudge.
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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