High Risk →

group_operation

Group theory: construct groups and query properties

How to control group_operation ↓

What group_operation does on SageMath MCP Server

AI agents invoke group_operation 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.

High Risk

Why group_operation needs a policy

This tool constructs group objects and queries their properties within a SageMath session. Construction and querying of mathematical structures involves executing SageMath code in a persistent session environment. While it is primarily read/query in intent, it executes code in a stateful compute environment, making Execute the appropriate category.

From the tool's definition 'construct groups and query properties' — constructs mathematical objects and queries them using SageMath

Documented attack patterns abuse exactly the kind of access group_operation gives an agent:

How to control group_operation

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 group_operation:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "group_operation": {
      "limits": [
        {
          "counter": "group_operation_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

group_operation 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.

  1. Create a free account and register SageMath MCP Server — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
RATE-LIMIT THIS TOOL →

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Related tools and policies

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Questions about group_operation

What does the group_operation tool do? +

Group theory: construct groups and query properties. 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.

How do I enforce a policy on group_operation? +

Register the SageMath MCP Server MCP server in PolicyLayer and add a rule for group_operation: 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.

What risk level is group_operation? +

group_operation is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit group_operation? +

Yes. Add a rate_limit block to the group_operation 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.

How do I block group_operation completely? +

Set action: deny in the PolicyLayer policy for group_operation. 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.

What MCP server provides group_operation? +

group_operation 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.

Enforce policy on every SageMath MCP Server tool call.

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.

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