get_scheduler_time
AI agents call get_scheduler_time to retrieve information from Allcanuse without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The tool name strongly suggests reading or retrieving the current scheduler time without modifying state. Although the description is empty (reducing confidence slightly), the naming convention 'get_' is consistently used for read-only operations. No evidence of side effects, data modification, destructive actions, or financial operations.
From the tool's definition Tool name 'get_scheduler_time' indicates retrieval of time information from the system scheduler; no description provided but naming pattern suggests a query operation.
Documented attack patterns abuse exactly the kind of access get_scheduler_time gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Allcanuse, and nothing reaches the server without passing your rules. This is the rule we recommend for get_scheduler_time:
{
"version": "1",
"default": "deny",
"tools": {
"get_scheduler_time": {}
}
}get_scheduler_time is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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get_scheduler_time. It is categorised as a Read tool in the Allcanuse MCP Server, which means it retrieves data without modifying state.
Register the Allcanuse MCP server in PolicyLayer and add a rule for get_scheduler_time: 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 Allcanuse. Nothing to install.
get_scheduler_time is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the get_scheduler_time 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 get_scheduler_time. 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.
get_scheduler_time is provided by the Allcanuse MCP server (ra1nyxin/allcanuse-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Allcanuse, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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130 Allcanuse tools catalogued and risk-classified — across an index of 43,000+ MCP servers.