AI agents use save-preferences to create or update resources in AL Object ID Ninja MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your AL Object ID Ninja MCP Server environment.
This tool modifies user settings/preferences state within the AL Object ID management system. While preferences are typically reversible (users can update or reset them), the action persists configuration changes that affect system behavior. It qualifies as Write rather than Read (it modifies, not retrieves) and is not Destructive (preferences can be changed again).
From the tool's definition Tool name 'save-preferences' and description 'Save user preferences' indicate creation or modification of user configuration data. The verb 'save' coupled with 'preferences' suggests reversible data modification rather than retrieval or deletion.
Documented attack patterns abuse exactly the kind of access save-preferences gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and AL Object ID Ninja MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for save-preferences:
{
"version": "1",
"default": "deny",
"tools": {
"save-preferences": {
"limits": [
{
"counter": "save-preferences_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
} save-preferences 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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Save user preferences. It is categorised as a Write tool in the AL Object ID Ninja MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the AL Object ID Ninja MCP Server MCP server in PolicyLayer and add a rule for save-preferences: 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 AL Object ID Ninja MCP Server. Nothing to install.
save-preferences 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 save-preferences 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 save-preferences. 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.
save-preferences is provided by the AL Object ID Ninja MCP Server MCP server (sshadows/al-objid-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from AL Object ID Ninja 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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26 AL Object ID Ninja MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.