x-twitter.edit_post
Edit a recent post from a connected X account. Call x-twitter.connected_accounts first. Pass user_id or user_name to target a specific account, or omit both to use the default account. Requires post_id and at least one of text, media, paid_partnership, or made_with_ai. Edits must be within X's on...
This record as markdown: /tools/io-github-vee3io-vee3/x-twitter.edit-post.md
What x-twitter.edit_post does on Vee3
AI agents use x-twitter.edit_post to create or update resources in Vee3, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Vee3 environment.
| Parameter | Type | Required | Description |
|---|---|---|---|
text | object | — | Updated post text. |
media | array | — | File names from files.list_uploaded_files to attach (up to 4). Upload with files.upload_file first. |
post_id | string | Yes | Numeric id of the post to edit. |
user_id | object | — | Numeric X user id from x-twitter.connected_accounts. Pass user_id or user_name to target a specific account, not both. Omit both to use the default account. |
user_name | object | — | X handle from x-twitter.connected_accounts, with or without a leading @. Pass user_id or user_name to target a specific account, not both. Omit both to use the |
made_with_ai | object | — | Whether the post contains AI-generated media. |
paid_partnership | object | — | Whether the post is a paid partnership. |
Parameters from the server's own tool schema.
Why x-twitter.edit_post is rated Medium
Modifies existing social media content reversibly; changes are visible publicly but can be undone.
From the tool's definition Edit a recent post from a connected X account.
Attacks that exploit this kind of access
The rule that runs x-twitter.edit_post safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Vee3, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For x-twitter.edit_post, this is the rule to start with:
x-twitter.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 Vee3, apply this rule, and every x-twitter.edit_post call is checked against it from then on.
Questions about x-twitter.edit_post
Edit a recent post from a connected X account. Call x-twitter.connected_accounts first. Pass user_id or user_name to target a specific account, or omit both to use the default account. Requires post_id and at least one of text, media, paid_partnership, or made_with_ai. Edits must be within X's one-hour window after posting. The authenticated X account may need X Premium for API edits. Posts with polls and some other types cannot be edited. Each edit returns a new post_id. To attach media, upload files with files.upload_file and pass file_name values from files.list_uploaded_files. Token pricing matches x-twitter.create_post: 60 tokens base, 1000 with URL, plus media surcharges. It is categorised as a Write tool in the Vee3 MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
x-twitter.edit_post accepts 7 parameters: text, media, post_id, user_id, user_name, made_with_ai, paid_partnership. Required: post_id. The full parameter table on this page comes from the server's own tool schema.
Register the Vee3 MCP server in PolicyLayer and add a rule for x-twitter.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 Vee3. Nothing to install.
x-twitter.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 x-twitter.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 x-twitter.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.
x-twitter.edit_post is provided by the Vee3 MCP server (https://mcp.vee3.io/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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