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Gelato MCP by usefulapi

Get catalog

gelato_get_catalog
Read-only

One catalog with the attributes that define its products (e.g. PaperFormat, PaperType, ColorType) and each attribute's possible values. Use them as attribute_filters in gelato_search_products. GET /v3/catalogs/{catalogUid}.

Input Schema

NameRequiredDescriptionDefault
catalog_uidYesCatalog UID, e.g. "posters" (from gelato_list_catalogs).

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
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 that this is a GET /v3/catalogs/{catalogUid} call and that the output is an attribute/value map, which is useful context on the response shape, but there is no mention of auth needs, rate limits, or error behavior.

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?

Two tight sentences: the payload description comes first, the downstream use second, with a compact endpoint reference at the end. Every element earns its place, though the raw REST path is marginally redundant for an agent-level tool.

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 carries the burden of describing the return value, and it does: a catalog plus its defining attributes and each attribute's possible values. The only gap is that it doesn't say how many attributes or whether the response is a single object, but this is minor for a one-parameter read.

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 single parameter's schema already documents its format and origin ('posters', from gelato_list_catalogs). The description adds no syntax or format detail beyond that, 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?

The description states a specific resource (a single catalog and the attributes/values that define its products), which clearly separates it from the plural gelato_list_catalogs sibling. The verb is implicit rather than stated as a leading imperative, but 'One catalog with the attributes...' leaves no ambiguity about what is returned.

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

Usage Guidelines4/5

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

It gives a concrete downstream use: take these attributes and pass them as attribute_filters to gelato_search_products. That is genuine when/how guidance. It does not, however, state when NOT to use it or contrast explicitly with gelato_list_catalogs beyond the singular/plural implication.

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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