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Gelato MCP by usefulapi

Get template

gelato_get_template
Read-only

A product template made in the Gelato dashboard: title, description, preview, and its variants (id, title, productUid; pass the variant id as template_variant_id) with their image placeholders (names to fill in gelato_create_product_from_template). GET /v1/templates/{templateId}.

Input Schema

NameRequiredDescriptionDefault
template_idYesTemplate id (Gelato dashboard → the template's URL).

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.7/5.0
Behavior4/5

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 real value beyond that by enumerating the returned structure (title, description, preview, variants, image placeholders) and linking those fields to downstream tool parameters, though it says nothing about failure modes or auth.

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?

It is a single dense sentence with no filler, and the endpoint is front-loaded at the end as a quick anchor. The clause stacking (variants, then placeholders, then a nested cross-tool instruction) makes it slightly harder to parse than it needs to be, but nothing is wasted.

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 must convey the return shape, and it does so reasonably: template fields, variants with their ids, and image placeholders. A single-id read tool with full schema coverage and annotations is nearly complete, though a note on what happens for an unknown or unauthorized template id 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 description coverage is 100% and the single parameter is documented there (dashboard URL origin, pattern, length bounds), so the schema carries the burden. The description's 'pass the variant id as template_variant_id' concerns a different tool's input, not this tool's template_id, so it adds little parameter meaning here.

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 identifies the resource (a Gelato dashboard product template) and implicitly the operation via the GET /v1/templates/{templateId} endpoint, and it distinguishes itself from siblings by naming gelato_create_product_from_template as the consumer. It never states a crisp verb like 'retrieve', so the purpose is clear but slightly inferential.

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?

It gives useful workflow routing: variant ids are to be passed as template_variant_id and placeholder names filled in via gelato_create_product_from_template. However, it never says when to call this tool versus alternatives like gelato_get_product or gelato_list_store_products, and gives no preconditions beyond the id's origin.

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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