AI agents use archive_chat to create or update resources in Open WebUI MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Open WebUI MCP Server environment.
Archiving a chat is a write operation that modifies chat state/metadata reversibly—the chat is not deleted but marked as archived, and can typically be restored or unarchived. The blast radius is medium because it affects access to chat history and workflow continuity, but the operation is reversible and does not destroy data or execute arbitrary code.
From the tool's definition Tool name 'archive_chat' and description 'Archive a chat' indicates a reversible state change operation. Archiving is a Write operation that marks/moves data (typically reversible), distinct from deletion.
Documented attack patterns abuse exactly the kind of access archive_chat gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Open WebUI MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for archive_chat:
{
"version": "1",
"default": "deny",
"tools": {
"archive_chat": {
"limits": [
{
"counter": "archive_chat_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}archive_chat 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.
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Archive a chat. It is categorised as a Write tool in the Open WebUI MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Open WebUI MCP Server MCP server in PolicyLayer and add a rule for archive_chat: 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 Open WebUI MCP Server. Nothing to install.
archive_chat 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 archive_chat 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 archive_chat. 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.
archive_chat is provided by the Open WebUI MCP Server MCP server (troylar/open-webui-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Open WebUI MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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82 Open WebUI MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.