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get_product

Read-onlyIdempotent

Inspect one product selected by search_products: current price, aggregate warehouse stock and public characteristics. Use its internal product_id, not the SKU; get_products_batch reads several known IDs. Stock does not promise same-day pickup; unknown values remain null. Public; no OAuth required. Read-only.

Input Schema

NameRequiredDescriptionDefault
product_idYesInternal numeric Vesremont product ID returned by catalog search or a product response, not the SKU/article or a basket item ID.

Output Schema

NameRequiredDescriptionDefault
idYes
skuNo
urlYes
gtinNo
nameYes
brandNo
priceYes
stockYesBoth fields are the aggregate across the store warehouse network. They do not promise pickup today or a delivery lead time.
imagesNo
sectionNo
orderableYes
updated_atYes
descriptionNo
requestableNo
availabilityYes
characteristicsNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • addedOutput schema / properties / gtin
      Added value: +{
      +  "anyOf": [
      +    {
      +      "description": "Barcode from the published catalog field, if present. Not a product ID and not inferred from the name or URL.",
      +      "pattern": "^(?:[0-9]{8}|[0-9]{12,14})$",
      +      "type": "string"
      +    },
      +    {
      +      "type": "null"
      +    }
      +  ]
      +}
  2. First observed

TDQS

A4.4/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false and closed-world, so the safety profile is covered structurally. The description still adds real context beyond that: null semantics for unknown values, the caveat that stock does not imply same-day pickup, and the no-auth requirement. It stops short of error behavior or rate limits, so it lands at 4 rather than 5.

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?

Front-loaded with the core action and return payload, then routing and caveats in short clauses; no padding and every sentence carries information. It is slightly telegraphic and the SKU warning duplicates the schema, costing it the top mark.

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

Completeness5/5

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

With an output schema present, return-value description is not required, and the definition still covers provenance of the ID, the batch alternative, stock interpretation limits, and auth. Nothing an agent needs to invoke this single-parameter read correctly is missing.

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 coverage is 100% and the schema description already states the ID is the internal numeric Vesremont ID, not the SKU/article or basket item ID. The description's 'Use its internal product_id, not the SKU' repeats that constraint rather than extending it with format, range, or lookup guidance, so baseline 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

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

Specifies a concrete verb and resource ('Inspect one product') and enumerates what comes back: current price, aggregate warehouse stock, public characteristics. It also names the sibling that produces the input (search_products) and the sibling it differs from (get_products_batch), so an agent can place it precisely without opening a schema.

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

Usage Guidelines5/5

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

Explicit routing: the ID must come from search_products and must be the internal product_id rather than the SKU, with get_products_batch flagged as the alternative when several known IDs are involved. It also states the scope is public with no OAuth, which sets the context for when this call is viable.

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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