High Risk →

matrix_multiply

Multiply two matrices and return the result as nested lists

How to control matrix_multiply ↓

What matrix_multiply does on SageMath MCP Server

AI agents invoke matrix_multiply 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 matrix_multiply needs a policy

This tool executes a mathematical computation (matrix multiplication) within the SageMath runtime environment. While the operation itself is read-like in nature (no persistent state modification, no destructive action), it runs code in a server-side CAS (Computer Algebra System) with persistent state, meaning it could interact with or affect session state.

From the tool's definition 'Multiply two matrices and return the result as nested lists' — runs a SageMath computation on the server

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

How to control matrix_multiply

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 matrix_multiply:

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

matrix_multiply 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 matrix_multiply

What does the matrix_multiply tool do? +

Multiply two matrices and return the result as nested lists. 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 matrix_multiply? +

Register the SageMath MCP Server MCP server in PolicyLayer and add a rule for matrix_multiply: 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 matrix_multiply? +

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

Can I rate-limit matrix_multiply? +

Yes. Add a rate_limit block to the matrix_multiply 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 matrix_multiply completely? +

Set action: deny in the PolicyLayer policy for matrix_multiply. 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 matrix_multiply? +

matrix_multiply 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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