sympy_perfect_power

Check if n is a perfect power.

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-perfect-power.md

WHAT IT DOES

What sympy_perfect_power does on Pypi:mcp Sympy

AI agents call sympy_perfect_power 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_perfect_power is rated Low

This tool performs a read-only mathematical check on a number to determine if it is a perfect power. It has no side effects, modifies no data, and simply returns a boolean/mathematical result. Part of a SymPy symbolic mathematics server.

From the tool's definition Check if n is a perfect power

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs sympy_perfect_power 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_perfect_power, this is the rule to start with:

sympy_perfect_power Allowed

sympy_perfect_power 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_perfect_power": {}
  }
}

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_perfect_power call is checked against it from then on.

FAQ

Questions about sympy_perfect_power

What does the sympy_perfect_power tool do? +

Check if n is a perfect power. 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_perfect_power? +

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

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

Can I rate-limit sympy_perfect_power? +

Yes. Add a rate_limit block to the sympy_perfect_power 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_perfect_power completely? +

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

sympy_perfect_power 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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