Reset the SageMath session state for the current MCP session
AI agents call reset_sage_session to permanently remove resources in SageMath MCP Server — typically in cleanup and lifecycle workflows. It does its job in a single call, and there is no undo.
Resetting the session state irreversibly destroys all persistent variables, computations, and context accumulated across prior tool calls. The server description emphasizes 'persistent state across tool calls' as a key feature, so resetting it is a non-recoverable destructive action. Severity is medium since it only affects the in-memory session state, not permanent stored data.
From the tool's definition Reset the SageMath session state for the current MCP session
Documented attack patterns abuse exactly the kind of access reset_sage_session gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and SageMath MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for reset_sage_session:
{
"version": "1",
"default": "deny",
"hide": [
"reset_sage_session"
]
} reset_sage_session disappears from the agent's tool list entirely, and any attempt to call it is denied. The rest of the server keeps working.
Free to start. No card required.
Reset the SageMath session state for the current MCP session. It is categorised as a Destructive tool in the SageMath MCP Server MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.
Register the SageMath MCP Server MCP server in PolicyLayer and add a rule for reset_sage_session: 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 SageMath MCP Server. Nothing to install.
reset_sage_session is a Destructive tool with critical risk. Critical-risk tools should be blocked by default and only enabled with explicit human approval.
Yes. Add a rate_limit block to the reset_sage_session 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 reset_sage_session. 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.
reset_sage_session is provided by the SageMath MCP Server MCP server (xbp-europe/sagemath-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from SageMath MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
32 SageMath MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.