This record as markdown: /tools/aiwerk-mcp-server-ghl/social-media-posting-edit-post.md
What social_media_posting_edit_post does on Ghl
AI agents use social_media_posting_edit_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 |
|---|---|---|---|
id | string | Yes | Post Id |
tags | array | — | Array of Tag Value |
type | object | Yes | Post Type must be one of the following values: - post, story, reel |
media | array | — | Post Media Data The limitations of media as per the platforms is provided through the reference link in API description |
status | object | — | Status must be one of the following values: in_progress, draft, failed, published, scheduled, in_review, notification_sent, deleted |
userId | string | — | User ID |
summary | string | — | Post Content The limitations of content as per the platforms is provided through the reference link in API description |
createdBy | string | — | Created By |
accountIds | array | — | Account Ids |
categoryId | string | — | Category Id |
locationId | string | — | Location Id Defaults to GHL_LOCATION_ID when omitted. |
scheduleDate | string | — | Schedule Date |
Parameters from the server's own tool schema.
Why social_media_posting_edit_post is rated Medium
An AI agent can call social_media_posting_edit_post faster than any human can review: one bad instruction and it creates or modifies resources in Ghl by the hundred, each call as confident as the last.
Risk signalsAccepts URL/endpoint input (gmbPostDetails.url) · High parameter count (41 properties)
Attacks that exploit this kind of access
The rule that runs social_media_posting_edit_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 social_media_posting_edit_post, this is the rule to start with:
social_media_posting_edit_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 social_media_posting_edit_post call is checked against it from then on.
Questions about social_media_posting_edit_post
Edit post. 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.
social_media_posting_edit_post accepts 12 parameters: id, tags, type, media, status, userId, summary, createdBy, accountIds, categoryId, locationId, scheduleDate. Required: id, type. 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 social_media_posting_edit_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.
social_media_posting_edit_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 social_media_posting_edit_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 social_media_posting_edit_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.
social_media_posting_edit_post is provided by the Ghl MCP server (@aiwerk/mcp-server-ghl). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
More on Ghl, and thousands of servers like it.
This server
Across the catalogue