sympy_evalf

Evaluate expression to floating point.

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-evalf.md

WHAT IT DOES

What sympy_evalf does on Pypi:mcp Sympy

AI agents invoke sympy_evalf 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_evalf is rated High

This tool executes a numerical evaluation of a symbolic expression. It performs computation (running SymPy's evalf method) rather than purely reading stored data or writing/modifying data. The blast radius is low since it only evaluates mathematical expressions and has no side effects on external systems or data stores.

From the tool's definition "Evaluate expression to floating point" — runs a computation/evaluation on a symbolic expression

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs sympy_evalf 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_evalf, this is the rule to start with:

sympy_evalf Rate-limited

sympy_evalf 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_evalf": {
      "limits": [
        {
          "counter": "sympy_evalf_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_evalf call is checked against it from then on.

FAQ

Questions about sympy_evalf

What does the sympy_evalf tool do? +

Evaluate expression to floating point. 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_evalf? +

Register the Pypi:mcp Sympy MCP server in PolicyLayer and add a rule for sympy_evalf: 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_evalf? +

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

Can I rate-limit sympy_evalf? +

Yes. Add a rate_limit block to the sympy_evalf 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_evalf completely? +

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

sympy_evalf 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

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