sympy_cbrt

Cube root.

SERVERPypi:mcp Sympy SOURCEpypi:mcp-sympy

High RISK CLASS

Category Execute

Parameters 00 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-github-daedalus-mcp-sympy/sympy-cbrt.md

WHAT IT DOES

What sympy_cbrt does on Pypi:mcp Sympy

AI agents invoke sympy_cbrt to trigger actions in Pypi:mcp Sympy. 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.

RISK

Why sympy_cbrt is rated High

This tool runs a SymPy mathematical operation (cube root) on the server side. It triggers external computation but has no side effects on data, files, or systems. The description is minimal, but consistent with other sibling tools (sympy_abs, sympy_acos, etc.) which are all mathematical function evaluations. Severity is low as the blast radius of misuse is negligible — it simply computes a cube root.

From the tool's definition Tool name 'sympy_cbrt' and description 'Cube root.' — executes a SymPy symbolic mathematics computation

Risk signalsAdmin/system-level operation

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs sympy_cbrt safely

PolicyLayer is an MCP gateway: it sits between your AI agents and Pypi:mcp Sympy, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For sympy_cbrt, this is the rule to start with:

sympy_cbrt Rate-limited

sympy_cbrt 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.

View as policy code

policy.json

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

RATE-LIMIT THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Pypi:mcp Sympy, apply this rule, and every sympy_cbrt call is checked against it from then on.

FAQ

Questions about sympy_cbrt

What does the sympy_cbrt tool do? +

Cube root. It is categorised as a Execute tool in the Pypi:mcp Sympy MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on sympy_cbrt? +

Register the Pypi:mcp Sympy MCP server in PolicyLayer and add a rule for sympy_cbrt: 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 Pypi:mcp Sympy. Nothing to install.

What risk level is sympy_cbrt? +

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

Can I rate-limit sympy_cbrt? +

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

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

sympy_cbrt is provided by the Pypi:mcp Sympy MCP server (pypi:mcp-sympy). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

KEEP EXPLORING

More on Pypi:mcp Sympy, and thousands of servers like it.

This server

All 171 Pypi:mcp Sympy tools → High-risk tools on this server →

Across the catalogue

All high-risk MCP tools → The MCP Attack Database →

Guides

Govern code and CI agents →Agent sandbox →Least privilege for MCP →