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get_product

Read-onlyIdempotent

Get a single product by storefront slug and product slug.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "storefrontSlug": "<storefrontSlug>",
      "productSlug": "<productSlug>"
    },
    "name": "get_product"
  }
}

Input Schema

NameRequiredDescriptionDefault
productSlugYesThe product's slug within that store (from search_products results).
storefrontSlugYesThe store's slug, e.g. 'greybox' (from search_storefronts or a product result).

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.9/5.0
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false and openWorldHint=false, so the safety profile is fully covered elsewhere. The description adds nothing beyond that—no note on not-found behavior, slug case sensitivity, or whether unpublished products are returned.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

A single front-loaded sentence with zero filler. It is efficient, though the terseness leaves no room for the routing or failure-mode context an agent would benefit from.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple two-parameter lookup with a fully documented schema and complete annotations, the definition is minimally sufficient. It omits what the response contains and how missing products are signalled, which an agent calling this cold would want.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100% and both required parameters are documented there, including where to obtain the slugs. The description only restates the parameter names, adding no 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.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb and resource ('Get a single product') and names the two lookup keys, which distinguishes it from search_products and get_storefront. It stops short of explicitly naming the sibling alternative, so it is clear but not fully differentiated.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description gives no when-to-use guidance, no mention of alternatives like search_products, and no indication of what to do when the slug is unknown. The only routing hints ('from search_products results', 'from search_storefronts') live in the schema, not the description.

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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