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Shopmonkey MCP Server

Shopmonkey MCP Server

by AbbottDevelopments
OverviewSchemaSourceRelated ServersDiscussionsAdmin
TypeScript
Remote

create_webhook

Create a webhook in Shopmonkey to send event notifications to your HTTPS endpoint, enabling automated workflows like Make.com syncs.

Instructions

Create a new webhook in Shopmonkey. Use this to register Make.com or other endpoint URLs that receive Shopmonkey event notifications.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "name": "<name>",
      "url": "<url>",
      "triggers": "<triggers>"
    },
    "name": "create_webhook"
  }
}

Input Schema

NameRequiredDescriptionDefault
urlYesThe HTTPS endpoint URL that will receive webhook events
nameYesDescriptive name for this webhook (e.g., "make-ghl-sync")
secretNoOptional shared secret for HMAC signature verification
enabledNoWhether the webhook is active (default: true)
versionNoWebhook payload version
triggersYesList of event types that trigger this webhook

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv1.1.1

TDQS

A4.2/5.0
Behavior4/5

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

No annotations are provided, so the description carries the burden. It clearly indicates a write operation ('Create' and 'register') and implies the creation of a new webhook resource, which is transparent for a typical create action. It doesn't mention side effects, but they are not necessary for this simple operation.

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?

The description is two concise sentences with no fluff. It efficiently conveys the purpose and a common use case, making it easy to parse.

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?

The description is comprehensive for a create operation. It doesn't mention output schema (none exists), but it provides enough context about the resource and intended usage. The required parameters are in the schema, so the description is adequate.

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?

The schema description covers 100% of parameters, and the description does not add any extra meaning beyond what the schema already explains. The baseline is 3 because it relies fully on the schema, which is sufficient.

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 clearly states the action ('Create') and resource ('webhook in Shopmonkey'), and specifies the intended use of registering endpoint URLs for receiving event notifications. It distinguishes itself from sibling tools like list_webhooks, update_webhook, and delete_webhook.

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?

Provides explicit guidance on when to use this tool (to register Make.com or other endpoint URLs for event notifications). It doesn't explicitly say when not to use it, but the purpose is clear enough that an agent can infer alternatives like listing or updating webhooks.

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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