Read a garment
get_productThe facts of one garment: brand, fabric, fit, sizes, colours, what it suits, its price before a logo and its link.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| slug | Yes | The product's slug, from search_products |
get_productThe facts of one garment: brand, fabric, fit, sizes, colours, what it suits, its price before a logo and its link.
| Name | Required | Description | Default |
|---|---|---|---|
| slug | Yes | The product's slug, from search_products |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true, destructiveHint=false and openWorldHint=false, so the safety profile is covered. The description adds the field inventory but says nothing about error behavior for a missing slug or response shape; with annotations carrying the main burden, a 3 is fair.
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 front-loaded sentence that states the resource first and then its contents; no filler. The colon-list style is dense but every item earns its place as a returned field.
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 single-parameter read-only tool with no output schema, the field enumeration effectively describes what comes back and annotations cover safety. Only a note on behavior for an unknown slug is missing.
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% and the single slug parameter is documented as coming from search_products. The description adds no further meaning beyond the schema, 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 names a specific resource — one garment — and enumerates its facts (brand, fabric, fit, sizes, colours, price, link), so an agent knows exactly what it returns. It does not explicitly contrast itself with search_products or get_quote, but 'one garment' versus a search is inferable.
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: this is the detail lookup for a single product, and the schema note says the slug comes from search_products. There is no explicit when-to-use/when-not or naming of alternatives such as search_products or get_quote.
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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