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N-Graves

gumroad-mcp-server

by N-Graves

gumroad_create_product

Create a Gumroad product as a draft, with payments disabled until you publish it separately via the enable product action.

Instructions

Create a product. It is created as a DRAFT with purchases disabled — Gumroad's own controller sets draft=true — so this cannot put anything on sale. Publishing is a separate call (enableProduct). Operation id: createProduct.

⚠️ price_cents is in CENTS here, while Gumroad's UPDATE endpoint takes dollars. That asymmetry is upstream's, not this server's, and it is stated rather than silently normalised because a silent conversion is worse than a documented trap.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesProduct name.
tagsNo
descriptionNo
native_typeNoe.g. digital, course, ebook, membership, physical.
price_centsYesPrice in CENTS. 999 is $9.99. Zero means pay-what-you-want.
taxonomy_idNoFrom listCategories.

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv1.0.0

TDQS

A4.3/5.0
Behavior4/5

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

With no annotations provided, the description carries the full burden, and it does so well: it discloses draft=true, disabled purchases, the separate publishing step, and the price_cents-vs-dollars asymmetry. It does not cover auth, response contents, or rate limits, but the most surprising and consequential behaviors are transparently stated.

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?

The essential statement is front-loaded, and the warnings are grouped logically in two short paragraphs. The explanation of why the unit mismatch was not silently normalized is slightly verbose but earns its place by preventing incorrect assumptions.

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?

Given no output schema and no annotations, the description covers the critical operational context: draft state, disabled purchases, the publishing alternative, and the unit asymmetry. It omits details such as expected response shape or authorization, but the information needed to avoid the main pitfalls is present.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 67%, so the description does not need to explain every field. It adds crucial meaning beyond the schema by highlighting that price_cents is in cents while the update endpoint uses dollars, and by reinforcing that zero means pay-what-you-want. Remaining undocumented fields like tags and description are largely self-explanatory.

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?

The description begins with a clear verb and resource: 'Create a product.' It goes beyond a simple label by specifying the outcome ('created as a DRAFT with purchases disabled') and names the operation id, making it unambiguous and distinct from any read or list siblings.

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?

The description explicitly says publishing is a separate call ('enableProduct') and that this tool cannot put anything on sale, which tells an agent when not to rely on this tool. It does not enumerate all sibling alternatives, but the key operational boundary is clearly drawn.

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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