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Gelato MCP by usefulapi

Get product

gelato_get_product
Read-only

One catalog product by productUid: attributes, weight, supported and unsupported countries, whether it is printable or stockable, and valid page counts for multi-page products. GET /v3/products/{productUid}.

Input Schema

NameRequiredDescriptionDefault
product_uidYesGelato product UID (from gelato_search_products).

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.8/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false, and openWorldHint=true, so the safety profile is covered. The description adds useful payload scope (unsupported countries are returned, page counts only for multi-page products), which is genuine context beyond annotations, but it discloses nothing about lookup misses, caching, or error behavior for an unknown UID.

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

Conciseness5/5

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

A single sentence enumerating payload contents followed by the endpoint route. It is front-loaded with the resource and every clause carries information; nothing is padded.

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

Completeness4/5

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

For a one-parameter read-only lookup with full schema coverage and no output schema, the description covers what comes back and how to obtain the UID. It is nearly complete; the only gap is how failures (invalid or stale UID) surface, which is minor for a GET.

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 the schema already documents product_uid with its pattern and length bounds, plus points back to gelato_search_products. The description does add the framing that the UID identifies a catalog product, but adds no format or sourcing detail beyond the schema. Baseline 3 applies when the schema does the heavy lifting.

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?

States a specific verb (get) and resource (one catalog product by productUid), and enumerates what the payload includes: attributes, weight, supported/unsupported countries, printable/stockable flags, valid page counts. This distinguishes it from gelato_search_products (search) and gelato_get_store_product (store-scoped product), so an agent can route without opening either schema.

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

Usage Guidelines3/5

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

Usage is implied: the single required parameter note '(from gelato_search_products)' hints at the discovery-then-fetch flow. But there is no explicit when-to-use versus gelato_get_store_product or gelato_get_product_prices, and no statement that this is a read-only lookup versus a write path.

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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