update_blog_post
Update an existing blog post in GoHighLevel. All fields except postId and blogId are optional.
This record as markdown: /tools/ghl/update-blog-post.md
What update_blog_post does on Ghl
AI agents use update_blog_post to create or update resources in Ghl, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Ghl environment.
| Parameter | Type | Required | Description |
|---|---|---|---|
tags | array | — | Updated array of tags |
title | string | — | Updated blog post title |
author | string | — | Updated author ID |
blogId | string | Yes | Blog site ID that contains the post |
postId | string | Yes | Blog post ID to update |
status | string | — | Updated publication status |
content | string | — | Updated HTML content of the blog post |
urlSlug | string | — | Updated URL slug (use check_url_slug to verify availability) |
imageUrl | string | — | Updated featured image URL |
categories | array | — | Updated array of category IDs |
description | string | — | Updated description/excerpt of the blog post |
publishedAt | string | — | Updated ISO timestamp for publication date |
Parameters from the server's own tool schema.
Why update_blog_post is rated Medium
This tool modifies existing blog post data (postId, blogId) without deleting or executing code. The update operation is reversible—changes can be corrected or reverted. Write category is appropriate because it creates or modifies data reversibly.
From the tool's definition Tool description states 'Update an existing blog post in GoHighLevel', which is a modification operation. The tool accepts postId and blogId as required parameters and allows optional field updates, indicating reversible data changes to blog content.
Risk signalsAccepts raw HTML/template content (content) · High parameter count (14 properties)
Attacks that exploit this kind of access
The rule that runs update_blog_post safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Ghl, 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 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.
The button opens the PolicyLayer dashboard: create your workspace, connect Ghl, apply this rule, and every update_blog_post call is checked against it from then on.
Questions about update_blog_post
Update an existing blog post in GoHighLevel. All fields except postId and blogId are optional. It is categorised as a Write tool in the Ghl MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
update_blog_post accepts 12 parameters: tags, title, author, blogId, postId, status, content, urlSlug, imageUrl, categories, description, publishedAt. Required: blogId, postId. The full parameter table on this page comes from the server's own tool schema.
Register the Ghl 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 Ghl. Nothing to install.
update_blog_post is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
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.
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.
update_blog_post is provided by the Ghl MCP server (ghl-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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