Look up a product by SKU
get_productFetch one product's live details (price, availability, sizes/variants, URL) by its SKU.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| sku | Yes | The product SKU, e.g. GP016MIS-18. |
get_productFetch one product's live details (price, availability, sizes/variants, URL) by its SKU.
| Name | Required | Description | Default |
|---|---|---|---|
| sku | Yes | The product SKU, e.g. GP016MIS-18. |
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 bears full responsibility. It indicates 'live details' but does not disclose failure behavior (e.g., returns null if SKU not found), authentication requirements, or rate limits. The description is minimal.
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?
The description is a single, front-loaded sentence that clearly states the purpose and scope. Every word is necessary, with no redundancy.
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 simple one-parameter lookup tool with no output schema, the description covers the main fields returned. It lacks mention of error handling or pagination, but those are less critical. Minor gap: does not state if it returns a single object or null.
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 description coverage is 100%, so the description adds little beyond the schema. It confirms the parameter is the SKU but does not provide additional semantic guidance (e.g., format, common prefixes). Baseline 3 is appropriate.
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 uses a specific verb ('fetch') and resource ('product by SKU'), and lists key fields (price, availability, sizes/variants, URL). It distinguishes from siblings like search_products (which likely returns multiple results) and get_store_policies (unrelated).
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?
The description implies use when you have a SKU and need live details, but does not explicitly state when not to use it or mention alternatives like search_products for queries without a SKU.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.