Low Risk

matrix_determinant

Calculate the determinant of a square matrix. Returns a scalar. Example: matrix_determinant([[1,2],[3,4]]) -> -2

How to control matrix_determinant ↓

What matrix_determinant does on MCP Calc Tools

AI agents call matrix_determinant to retrieve information from MCP Calc Tools without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Low Risk

Why matrix_determinant needs a policy

The matrix_determinant tool performs a read-only mathematical calculation. It takes a matrix as input and returns a computed scalar value (the determinant). There are no write operations, state changes, code execution, data deletion, or financial implications. The tool is purely computational and deterministic, making it a Read category risk with low severity.

From the tool's definition Tool description states 'Calculate the determinant of a square matrix. Returns a scalar' — a pure mathematical computation with no side effects, data modification, or external operations.

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

How to control matrix_determinant

PolicyLayer is an MCP gateway — it sits between your AI agents and MCP Calc Tools, and nothing reaches the server without passing your rules. This is the rule we recommend for matrix_determinant:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "matrix_determinant": {}
  }
}

matrix_determinant is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

  1. Create a free account and register MCP Calc Tools — 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.
CAP THIS TOOL →

Free to start. No card required.

Related tools and policies

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Questions about matrix_determinant

What does the matrix_determinant tool do? +

Calculate the determinant of a square matrix. Returns a scalar. Example: matrix_determinant([[1,2],[3,4]]) -> -2. It is categorised as a Read tool in the MCP Calc Tools MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on matrix_determinant? +

Register the MCP Calc Tools MCP server in PolicyLayer and add a rule for matrix_determinant: 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 MCP Calc Tools. Nothing to install.

What risk level is matrix_determinant? +

matrix_determinant is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit matrix_determinant? +

Yes. Add a rate_limit block to the matrix_determinant 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_determinant completely? +

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

matrix_determinant is provided by the MCP Calc Tools MCP server (nbiish/mcp-calc-tools). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every MCP Calc Tools tool call.

Start from MCP Calc Tools, 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.

22 MCP Calc Tools tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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