High Risk →

solve_cvxpy_problem_tool

solve_cvxpy_problem_tool

How to control solve_cvxpy_problem_tool ↓

AI agents invoke solve_cvxpy_problem_tool to trigger actions in USolver. 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

Based on sibling tools and server description, this tool likely executes optimization problems using CVXPY, which involves running computational solver code. Empty description lowers confidence, but the naming pattern and server context (calling dedicated solvers like cvxpy) strongly suggest code/solver execution.

From the tool's definition Tool name 'solve_cvxpy_problem_tool' and server context indicate execution of a CVXPY optimization solver; description is empty and uninformative.

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

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

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

solve_cvxpy_problem_tool 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 USolver — 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 →

Free to start. No card required.

Go deeper

What does the solve_cvxpy_problem_tool tool do? +

solve_cvxpy_problem_tool. It is categorised as a Execute tool in the USolver MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on solve_cvxpy_problem_tool? +

Register the USolver MCP server in PolicyLayer and add a rule for solve_cvxpy_problem_tool: 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 USolver. Nothing to install.

What risk level is solve_cvxpy_problem_tool? +

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

Can I rate-limit solve_cvxpy_problem_tool? +

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

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

solve_cvxpy_problem_tool is provided by the USolver MCP server (sdiehl/usolver). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every USolver tool call.

Deterministic rules across all 10 USolver tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

Free to start. No card required.

10 USolver tools catalogued and risk-classified — across an index of 42,500+ MCP servers.

// GET IN TOUCH

Have a question or want to learn more? Send us a message.

Message sent.

We'll get back to you soon.