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N-Graves

gumroad-mcp-server

by N-Graves

gumroad_call

Call any Gumroad operation by its ID, passing optional params and body. Check the operation summary before invoking, since some operations affect real money or customers.

Instructions

Call any Gumroad operation by id. Some of these move real money or reach real customers — refundSale, sendEmail, scheduleEmail — so this is classified destructive as a whole. Check the operation's summary before calling it.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
bodyNo
paramsNo
operation_idYes

Schema Changelog

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

  1. First observedv1.0.0

TDQS

B3.4/5.0
Behavior4/5

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

No annotations exist, so the description carries the full safety burden. It explicitly discloses that certain operations 'move real money or reach real customers' and that the tool is 'classified destructive as a whole,' naming concrete examples. This goes well beyond a generic 'be careful' warning, though it does not address idempotency, rate limits, or output behavior.

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?

Three short sentences, front-loaded with the core purpose, followed by a concrete risk list and an actionable safeguard. No filler or redundancy; every sentence earns its place.

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

Completeness3/5

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

For a generic operation dispatcher with no output schema and no annotations, the description provides essential safety context and instructs the agent to consult the operation summary before calling. However, it doesn't point to gumroad_list_operations as the discovery source, nor explain how to translate an operation summary into the `body`/`params` fields. Thus, an agent has enough to be cautious but not enough to confidently construct arbitrary calls.

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

Parameters1/5

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

Schema description coverage is 0%, and the description only identifies operation_id by referring to calling an operation by id. It does not explain the `body` or `params` properties, how operation-specific arguments should be structured, or what checking the operation's summary should reveal about inputs. The schema's bare `additionalProperties` object remains entirely undocumented.

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 clear action — 'Call any Gumroad operation by id' — and names concrete example operations, so an agent understands it is a generic dispatcher keyed by operation_id. It doesn't explicitly distinguish when to prefer this over the dedicated sibling tools, but the generic-by-id semantics provide reasonable clarity.

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 — call by operation_id and check the operation's summary first — but never says when gumroad_call should be chosen over dedicated siblings like gumroad_create_product or gumroad_get_sales. There is no explicit alternative routing or when-not-to-use guidance, though the safety warning establishes a clear precondition.

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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