Create a new AI tag (automatic message filter). AI tags are lightweight classifiers that run on every incoming message. When a message matches the tag's description/criteria, the thread is automatically labelled — so AI agents can cheaply pre-filter threads instead of running full LLM analysis on...
Risk signalsBulk/mass operation — affects multiple targets
Part of the Dialogbrain server.
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AI agents use ai_tags_create 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_create 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.
{
"version": "1",
"default": "deny",
"tools": {
"ai_tags_create": {
"limits": [
{
"counter": "ai_tags_create_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}See the full Dialogbrain policy for all 157 tools.
These attack patterns abuse exactly the kind of access ai_tags_create gives an agent. Each links to the full case and the policy that stops it:
Other write tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.
Create a new AI tag (automatic message filter). AI tags are lightweight classifiers that run on every incoming message. When a message matches the tag's description/criteria, the thread is automatically labelled — so AI agents can cheaply pre-filter threads instead of running full LLM analysis on everything. Good descriptions are the key: they tell the classifier exactly when to apply this tag. When to use: - User wants to auto-classify incoming messages (e.g. bug reports, sales leads, support requests) - User wants to reduce AI agent costs by pre-filtering threads by topic or intent Tips for the description field: - Be specific: 'Messages reporting errors, crashes, or unexpected behavior in the product' - Include examples of what qualifies and what doesn't Limit: 20 active personal tags / 50 active team tags.. 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.
Register the Dialogbrain MCP server in PolicyLayer and add a rule for ai_tags_create: 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_create 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_create 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_create. 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_create 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.
Deterministic rules across all 157 Dialogbrain tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
Free to start. No card required.
4,600+ MCP servers and 31,000+ tools scanned and risk-classified.