Medium Risk

ai_tags_add_to_thread

Apply one or more AI tags to a thread (manually). When to use: - User wants to label a conversation with one or more tags - User asks to categorize or tag a thread Provide the thread_id (integer) and an array of tag_ids to apply. If a tag is already applied it will be updated to is_manual=true.

Part of the Dialogbrain server.

ai_tags_add_to_thread can modify Dialogbrain data, with no limits today. PolicyLayer puts allow, deny, and rate-limit rules on every call. Live in minutes.

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AI agents use ai_tags_add_to_thread to create or modify resources in Dialogbrain. Write operations carry medium risk because an autonomous agent could trigger bulk unintended modifications. Rate limits prevent a single agent session from making hundreds of changes in rapid succession. Argument validation ensures the agent passes expected values.

Without a policy, an AI agent could call ai_tags_add_to_thread repeatedly, creating or modifying resources faster than any human could review. PolicyLayer's rate limiting ensures write operations happen at a controlled pace, and argument validation catches malformed or unexpected inputs before they reach Dialogbrain.

Write tools can modify data. A rate limit prevents runaway bulk operations from AI agents.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "ai_tags_add_to_thread": {
      "limits": [
        {
          "counter": "ai_tags_add_to_thread_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

See the full Dialogbrain policy for all 157 tools.

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These attack patterns abuse exactly the kind of access ai_tags_add_to_thread gives an agent. Each links to the full case and the policy that stops it:

Browse the full MCP Attack Database →

Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so ai_tags_add_to_thread only ever does what you allow.

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Other write tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.

What does the ai_tags_add_to_thread tool do? +

Apply one or more AI tags to a thread (manually). When to use: - User wants to label a conversation with one or more tags - User asks to categorize or tag a thread Provide the thread_id (integer) and an array of tag_ids to apply. If a tag is already applied it will be updated to is_manual=true.. 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.

How do I enforce a policy on ai_tags_add_to_thread? +

Register the Dialogbrain MCP server in PolicyLayer and add a rule for ai_tags_add_to_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.

What risk level is ai_tags_add_to_thread? +

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

Can I rate-limit ai_tags_add_to_thread? +

Yes. Add a rate_limit block to the ai_tags_add_to_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.

How do I block ai_tags_add_to_thread completely? +

Set action: deny in the PolicyLayer policy for ai_tags_add_to_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.

What MCP server provides ai_tags_add_to_thread? +

ai_tags_add_to_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.

Enforce policy on every Dialogbrain tool call.

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