High Risk →

solve_ode

Solve an ordinary differential equation

How to control solve_ode ↓

What solve_ode does on SageMath MCP Server

AI agents invoke solve_ode 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 solve_ode needs a policy

This tool runs mathematical computations via SageMath. While the primary purpose is solving ODEs (a Read/compute operation), it executes code in a persistent SageMath session, meaning it could have side effects on session state.

From the tool's definition 'Solve an ordinary differential equation' using SageMath, which executes symbolic computation code in a persistent session

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

How to control solve_ode

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 solve_ode:

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

solve_ode 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

Go deeper

Questions about solve_ode

What does the solve_ode tool do? +

Solve an ordinary differential equation. 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 solve_ode? +

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

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

Can I rate-limit solve_ode? +

Yes. Add a rate_limit block to the solve_ode 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_ode completely? +

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

solve_ode 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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