AI agents invoke expand_expression to trigger actions in SageMath MCP Server. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.
While 'expand' sounds like a pure math operation, this tool runs within a SageMath environment that has 'full access to SageMath' and 'persistent state across tool calls'. The expression being expanded could contain arbitrary SageMath code. However, taken at face value as a mathematical expansion operation, it is more akin to a read/compute operation.
From the tool's definition 'Expand a mathematical expression' running within SageMath, which has persistent state and full access to SageMath computation engine
Documented attack patterns abuse exactly the kind of access expand_expression 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 expand_expression:
{
"version": "1",
"default": "deny",
"tools": {
"expand_expression": {
"limits": [
{
"counter": "expand_expression_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
} expand_expression stays usable, but rate-capped — a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.
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Expand a mathematical expression. It is categorised as a Execute tool in the SageMath MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the SageMath MCP Server MCP server in PolicyLayer and add a rule for expand_expression: 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.
expand_expression is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the expand_expression 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 expand_expression. 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.
expand_expression 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.