gql_reply_to_post

Reply to a post (GraphQL). Note: uses

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-reply-to-post.md

WHAT IT DOES

What gql_reply_to_post does on Thinkific MCP Server

AI agents use gql_reply_to_post 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_reply_to_post is rated Medium

This tool creates new content (a reply) in a discussion forum or comment thread, which is a reversible write operation. It does not execute arbitrary code, delete data permanently, or move money. The blast radius is limited to forum/discussion data within the Thinkific platform, justifying medium severity rather than high.

From the tool's definition Tool name 'gql_reply_to_post' and description 'Reply to a post (GraphQL)' indicate the tool creates a new reply/response that modifies the state of posts/discussions.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs gql_reply_to_post 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_reply_to_post, this is the rule to start with:

gql_reply_to_post Rate-limited

gql_reply_to_post 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_reply_to_post": {
      "limits": [
        {
          "counter": "gql_reply_to_post_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_reply_to_post call is checked against it from then on.

FAQ

Questions about gql_reply_to_post

What does the gql_reply_to_post tool do? +

Reply to a post (GraphQL). Note: uses. 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_reply_to_post? +

Register the Thinkific MCP Server MCP server in PolicyLayer and add a rule for gql_reply_to_post: 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_reply_to_post? +

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

Can I rate-limit gql_reply_to_post? +

Yes. Add a rate_limit block to the gql_reply_to_post 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_reply_to_post completely? +

Set action: deny in the PolicyLayer policy for gql_reply_to_post. 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_reply_to_post? +

gql_reply_to_post 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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