ai_tags_remove_from_thread
Remove a specific AI tag from a thread. When to use: - User wants to un-label or remove a specific tag from a conversation - User wants to correct an incorrectly applied tag Provide both thread_id and tag_id.
This record as markdown: /tools/io-github-saloprj-dialogbrain/ai-tags-remove-from-thread.md
What ai_tags_remove_from_thread does on Dialogbrain
AI agents use ai_tags_remove_from_thread to create or update resources in Dialogbrain, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Dialogbrain environment.
| Parameter | Type | Required | Description |
|---|---|---|---|
tag_id | integer | Yes | ID of the tag to remove |
thread_id | integer | Yes | ID of the thread to remove the tag from |
Parameters from the server's own tool schema.
Why ai_tags_remove_from_thread is rated Medium
This tool removes a metadata label (AI tag) from a thread. While it deletes a tag association, tags are typically re-applicable and this action is reversible (the tag can be re-added), making it a Write operation rather than Destructive. The blast radius is low since only metadata labeling is affected, not the underlying messages or data.
From the tool's definition Remove a specific AI tag from a thread
Attacks that exploit this kind of access
The rule that runs ai_tags_remove_from_thread safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Dialogbrain, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For ai_tags_remove_from_thread, this is the rule to start with:
ai_tags_remove_from_thread 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 Dialogbrain, apply this rule, and every ai_tags_remove_from_thread call is checked against it from then on.
Questions about ai_tags_remove_from_thread
Remove a specific AI tag from a thread. When to use: - User wants to un-label or remove a specific tag from a conversation - User wants to correct an incorrectly applied tag Provide both thread_id and tag_id. It is categorised as a Write tool in the Dialogbrain MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
ai_tags_remove_from_thread accepts 2 parameters: tag_id, thread_id. Required: tag_id, thread_id. The full parameter table on this page comes from the server's own tool schema.
Register the Dialogbrain MCP server in PolicyLayer and add a rule for ai_tags_remove_from_thread: 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 Dialogbrain. Nothing to install.
ai_tags_remove_from_thread 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 ai_tags_remove_from_thread 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 ai_tags_remove_from_thread. 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.
ai_tags_remove_from_thread is provided by the Dialogbrain MCP server (https://api.dialogbrain.com/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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