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Gelato MCP by usefulapi

Search catalog products

gelato_search_products
Read-only

List the products of a catalog, optionally filtered by attribute values, with each product's productUid, attributes, weight and dimensions, plus hit counts per attribute value. POST /v3/catalogs/{catalogUid}/products:search.

Input Schema

NameRequiredDescriptionDefault
limitNoResults per page, 1-100 (default 50).
offsetNoNumber of results to skip (default 0). Pass the previous reply's next_offset.
catalog_uidYesCatalog UID, e.g. "posters".
attribute_filtersNoAttribute name → accepted values, e.g. {"Orientation":["hor"],"PaperFormat":["A4","A3"]} (names and values from gelato_get_catalog).

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.9/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, destructiveHint=false, and openWorldHint, so safety is covered. The description still adds real value by disclosing the POST transport and, importantly, the shape of the returned payload (productUid, attributes, weight, dimensions, per-value hit counts) in the absence of an output schema.

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?

One dense sentence with the main action front-loaded, followed by the endpoint for precision. Every clause contributes, though the concatenated list of return fields makes it slightly heavy for a single sentence.

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?

With no output schema, the description compensates by naming the returned fields and the per-value hit counts, and the schema handles pagination and filter syntax. Cross-references to gelato_get_catalog for attribute names live in the schema rather than the description, a minor gap.

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%, so limit, offset, catalog_uid, and attribute_filters are already documented at the property level, including the cross-reference to gelato_get_catalog. The description only restates that filtering is by attribute values, adding nothing the schema lacks. Baseline 3.

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 and resource ('List the products of a catalog'), scopes it with an optional filter, and enumerates what each result carries. The scope ('catalog products') cleanly separates it from gelato_get_product (single) and gelato_list_store_products (store listings).

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?

The description implies usage through 'optionally filtered by attribute values' and the HTTP route, but never states when to choose this over gelato_list_store_products, gelato_get_product, or gelato_check_stock, nor any prerequisite. Usage is inferable but not guided.

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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