update_blog_post

Update an existing blog post in GoHighLevel. All fields except postId and blogId are optional.

SERVERGoHighLevel MCP Server SOURCEhooker-dev/hailey-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/hooker-dev-hailey-mcp/update-blog-post.md

WHAT IT DOES

What update_blog_post does on GoHighLevel MCP Server

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

RISK

Why update_blog_post is rated Medium

This tool creates or modifies data reversibly by updating an existing blog post. It does not delete, execute external commands, transfer funds, or trigger irreversible changes. The severity is medium because unauthorized updates to blog posts could defame a brand, spread misinformation, or disrupt customer-facing content, but the changes remain reversible through subsequent edits.

From the tool's definition Tool name: 'update_blog_post'. Description: 'Update an existing blog post in GoHighLevel.' The action modifies existing content ('update') in a reversible manner without deletion or data destruction.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs update_blog_post safely

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

update_blog_post Rate-limited

update_blog_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": {
    "update_blog_post": {
      "limits": [
        {
          "counter": "update_blog_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 GoHighLevel MCP Server, apply this rule, and every update_blog_post call is checked against it from then on.

FAQ

Questions about update_blog_post

What does the update_blog_post tool do? +

Update an existing blog post in GoHighLevel. All fields except postId and blogId are optional. It is categorised as a Write tool in the GoHighLevel 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 update_blog_post? +

Register the GoHighLevel MCP Server MCP server in PolicyLayer and add a rule for update_blog_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 GoHighLevel MCP Server. Nothing to install.

What risk level is update_blog_post? +

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

Can I rate-limit update_blog_post? +

Yes. Add a rate_limit block to the update_blog_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 update_blog_post completely? +

Set action: deny in the PolicyLayer policy for update_blog_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 update_blog_post? +

update_blog_post is provided by the GoHighLevel MCP Server MCP server (hooker-dev/hailey-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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