sympy_reals

The set of real numbers.

SERVERPypi:mcp Sympy SOURCEpypi:mcp-sympy

Low RISK CLASS

Category Read

Parameters 00 required

Recommended Allowedsee the rule below

Registry record Grade F, identity unverified Pull the record →

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

WHAT IT DOES

What sympy_reals does on Pypi:mcp Sympy

AI agents call sympy_reals to retrieve information from Pypi:mcp Sympy without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

RISK

Why sympy_reals is rated Low

This tool retrieves a symbolic representation of the real number set from SymPy. It is a pure read/query operation with no external side effects, no data modification, and no destructive or financial implications. Severity is low as misuse has negligible blast radius.

From the tool's definition 'The set of real numbers' — returns a mathematical constant/set object with no side effects

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs sympy_reals 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_reals, this is the rule to start with:

sympy_reals Allowed

sympy_reals is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "sympy_reals": {}
  }
}

ALLOW ONLY 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_reals call is checked against it from then on.

FAQ

Questions about sympy_reals

What does the sympy_reals tool do? +

The set of real numbers. It is categorised as a Read tool in the Pypi:mcp Sympy MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on sympy_reals? +

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

sympy_reals is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit sympy_reals? +

Yes. Add a rate_limit block to the sympy_reals 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_reals completely? +

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

sympy_reals 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.

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