Low Risk

matrix_multiply

Multiply two matrices. Input as nested arrays [[row1],[row2],...]. Column count of A must match row count of B. Max 100x100. Example: matrix_multiply([[1,2],[3,4]], [[5,6],[7,8]]) -> [[19,22],[43,50]]

How to control matrix_multiply ↓

What matrix_multiply does on MCP Calc Tools

AI agents call matrix_multiply 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_multiply needs a policy

This tool takes two matrix inputs and returns their product. It is a stateless mathematical calculation with no writes, deletions, financial transactions, or external executions. The max size constraint (100x100) limits blast radius further. Classified as Read (pure computation/query).

From the tool's definition 'Multiply two matrices' — performs a pure mathematical computation on provided input arrays with no side effects, no data storage, and no external operations.

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 MCP Calc Tools, 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": {}
  }
}

matrix_multiply 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_multiply

What does the matrix_multiply tool do? +

Multiply two matrices. Input as nested arrays [[row1],[row2],...]. Column count of A must match row count of B. Max 100x100. Example: matrix_multiply([[1,2],[3,4]], [[5,6],[7,8]]) -> [[19,22],[43,50]]. 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_multiply? +

Register the MCP Calc Tools 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 MCP Calc Tools. Nothing to install.

What risk level is matrix_multiply? +

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

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 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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