get_sku
Full detail for one SKU: item, merchant, location, and every option group with choices and price deltas (cents).
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| sku_id | Yes | e.g. starbucks--matcha-latte--short |
Full detail for one SKU: item, merchant, location, and every option group with choices and price deltas (cents).
| Name | Required | Description | Default |
|---|---|---|---|
| sku_id | Yes | e.g. starbucks--matcha-latte--short |
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 partially compensates by describing what is returned (detail plus option-group price deltas in cents), but says nothing about permissions, error behavior when a sku_id is unknown, or rate limits.
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?
One dense sentence with the resource front-loaded and the return contents listed; no filler or 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 one-parameter read tool with no output schema, the description usefully covers the shape of the return value. The only real gap is routing guidance against the sibling tools, which is minor here.
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?
With a single parameter and 100% schema description coverage (including a concrete example format 'starbucks--matcha-latte--short'), the schema already documents the input fully. The description adds no extra parameter meaning, so the baseline 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?
The description states a specific verb and resource ('Full detail for one SKU') and enumerates the returned content (item, merchant, location, option groups with choices and price deltas). The singular 'one SKU' implicitly contrasts with the search_skus sibling, but no sibling is named explicitly.
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 only implied: fetch this when you already have a single sku_id. There is no explicit when-to-use/when-not statement and no mention of search_skus as the alternative for finding SKUs, so an agent must infer the routing.
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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