Get one product
get_productReturn the published specification, customization scope, packaging, sample review points and gallery for one SKU.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| sku | Yes | Product SKU, for example A04. |
get_productReturn the published specification, customization scope, packaging, sample review points and gallery for one SKU.
| Name | Required | Description | Default |
|---|---|---|---|
| sku | Yes | Product SKU, for example A04. |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden. It discloses what content is returned, which is genuinely useful behavioral context, but does not state the read-only nature explicitly, any auth/prerequisite requirements, or whether unpublished SKUs are handled differently. The 'published specification' phrasing hints at a visibility constraint but leaves it ambiguous.
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 front-loaded sentence that communicates the operation and the payload contents with no filler. Every phrase earns its place.
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 tool with no output schema, the description usefully enumerates the return contents so the agent knows what to expect. It is nearly complete, with only the visibility/permission behavior left unspecified.
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?
Schema coverage is 100% with a single documented 'sku' parameter (including a maxLength and example). The description's 'one SKU' adds no format or semantics beyond the schema, so the baseline of 3 applies.
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?
States a clear verb ('Return') and resource ('one SKU') and enumerates the returned artifacts (specification, customization scope, packaging, sample review points, gallery). This distinguishes it from list-style siblings like search_products, but it never explicitly contrasts itself with compare_products or get_customization_options.
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?
Usage is implied by 'for one SKU' — retrieve a single product's details — but there is no explicit when-to-use guidance and no alternatives named (e.g., use search_products to find a SKU, compare_products for side-by-side). The agent must infer the selection rule from the name.
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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