Update settings for a specific workspace
AI agents use update_workspace_settings to create or update resources in AnythingLLM MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your AnythingLLM MCP Server environment.
The tool modifies workspace settings, which is a write operation. It does not delete data (would be Destructive), execute arbitrary code (would be Execute), nor involve financial transactions (would be Financial). Settings updates are typically reversible, making this a Write classification.
From the tool's definition Tool name 'update_workspace_settings' and description 'Update settings for a specific workspace' indicate modification of configuration data.
Documented attack patterns abuse exactly the kind of access update_workspace_settings gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and AnythingLLM MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for update_workspace_settings:
{
"version": "1",
"default": "deny",
"tools": {
"update_workspace_settings": {
"limits": [
{
"counter": "update_workspace_settings_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
} update_workspace_settings 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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Update settings for a specific workspace. It is categorised as a Write tool in the AnythingLLM MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the AnythingLLM MCP Server MCP server in PolicyLayer and add a rule for update_workspace_settings: 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 AnythingLLM MCP Server. Nothing to install.
update_workspace_settings 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 update_workspace_settings 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 update_workspace_settings. 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.
update_workspace_settings is provided by the AnythingLLM MCP Server MCP server (raqueljezweb/anythingllm-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from AnythingLLM 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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38 AnythingLLM MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.