evaluate_sage_streaming

THE RISK

High Risk

Why evaluate_sage_streaming needs a policy

This tool allows execution of arbitrary SageMath/Python code with side effects determined entirely by the input arguments. While SageMath itself is a legitimate computer algebra system, the ability to execute arbitrary code in an unrestricted manner presents significant risk: an agent could perform unauthorized computations, access file systems, make network calls, or trigger unintended operations.

From the tool's definition Tool name 'evaluate_sage_streaming' and description 'Execute SageMath code and stream intermediate print() output' explicitly indicate arbitrary code execution.

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

POLICY

How to control evaluate_sage_streaming

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 evaluate_sage_streaming:

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "evaluate_sage_streaming": {
      "limits": [
        {
          "counter": "evaluate_sage_streaming_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

evaluate_sage_streaming 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.

Create a free account and register SageMath MCP Server — nothing to install.
Add this policy — paste it, or build it visually.
Point your MCP client (Claude, Cursor, anything) at your gateway URL.

RATE-LIMIT THIS TOOL →

Free to start. No card required.

EXPLORE

Related tools and policies

More SageMath MCP Server tools

Destructive reset_sage_session Reset the SageMath session state for the current MCP session Execute cancel_sage_session Cancel any running Sage computation and restart the worker Execute boolean_algebra_operation Boolean algebra: operations on boolean polynomials Execute calculate_expression Evaluate a SageMath expression and return numeric/string forms Execute coding_theory_operation Coding theory: construct error-correcting codes Execute combinatorics_operation Combinatorics: binomial, permutations, combinations, partitions, and more Execute differentiate_expression Differentiate an expression with respect to a variable Execute distribution_operation Probability distribution operations: PDF, CDF, quantile, mean, variance, sampling

All 32 SageMath MCP Server tools →

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Go deeper

High-risk tools in SageMath MCP Server → Every high-risk tool this server exposes, in one view.
All high-risk MCP tools → Every high-risk tool across the catalogue, and the policy pattern that contains them.
The MCP Attack Database → Documented attack patterns against MCP deployments — and the policies that stop them.
Agent sandbox → Bounding what an agent can execute and where the boundary should sit.
Least privilege for MCP → Granting agents the minimum tool surface the task needs.
Rate Limiting MCP Tool Calls: A Practical Guide →
MCP Security: Why Prompt Guardrails Aren't Enough →

FAQ

Questions about evaluate_sage_streaming

What does the evaluate_sage_streaming tool do? +

Execute SageMath code and stream intermediate print() output. 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 evaluate_sage_streaming? +

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

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

Can I rate-limit evaluate_sage_streaming? +

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

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

evaluate_sage_streaming 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.

CHECK YOUR STACK →