gql_update_product

Update product attributes (GraphQL). Valid statuses: DRAFT, PENDING_APPROVAL, PRESELL, PUBLISHED.

SERVERThinkific MCP Server SOURCEackbarguppi-ai/thinkific-mcp

Medium RISK CLASS

Category Write

Parameters 00 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/ackbarguppi-ai-thinkific-mcp/gql-update-product.md

WHAT IT DOES

What gql_update_product does on Thinkific MCP Server

AI agents use gql_update_product to create or update resources in Thinkific MCP Server, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Thinkific MCP Server environment.

RISK

Why gql_update_product is rated Medium

Updates to product attributes are reversible changes that modify course/product data in the Thinkific platform but do not permanently delete or destroy data. The tool does not execute arbitrary code, transfer funds, or irreversibly remove information. Medium severity reflects that unauthorized product updates could affect course availability, pricing visibility, or student access, but changes can be rolled back.

From the tool's definition Tool name 'gql_update_product' explicitly indicates update operation. Description states 'Update product attributes' with enumerated status values (DRAFT, PENDING_APPROVAL, PRESELL, PUBLISHED), confirming reversible modification of data.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs gql_update_product safely

PolicyLayer is an MCP gateway: it sits between your AI agents and Thinkific MCP Server, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For gql_update_product, this is the rule to start with:

gql_update_product Rate-limited

gql_update_product stays usable, but capped: an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "gql_update_product": {
      "limits": [
        {
          "counter": "gql_update_product_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Thinkific MCP Server, apply this rule, and every gql_update_product call is checked against it from then on.

FAQ

Questions about gql_update_product

What does the gql_update_product tool do? +

Update product attributes (GraphQL). Valid statuses: DRAFT, PENDING_APPROVAL, PRESELL, PUBLISHED. It is categorised as a Write tool in the Thinkific MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on gql_update_product? +

Register the Thinkific MCP Server MCP server in PolicyLayer and add a rule for gql_update_product: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Thinkific MCP Server. Nothing to install.

What risk level is gql_update_product? +

gql_update_product is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit gql_update_product? +

Yes. Add a rate_limit block to the gql_update_product rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.

How do I block gql_update_product completely? +

Set action: deny in the PolicyLayer policy for gql_update_product. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.

What MCP server provides gql_update_product? +

gql_update_product is provided by the Thinkific MCP Server MCP server (ackbarguppi-ai/thinkific-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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