sympy_root

N-th 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-root.md

What sympy_root does on Pypi:mcp Sympy

AI agents invoke sympy_root 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.

Why sympy_root is rated High

This tool computes a mathematical operation (N-th root) using the SymPy library. It executes a symbolic computation but has no side effects on external systems, data stores, or finances. It falls under Execute because it runs a computation via the SymPy engine, though the blast radius is very low since it only produces a mathematical result. Confidence is moderate because the description is minimal.

From the tool's definition Tool is part of a SymPy MCP server that 'exposes SymPy's symbolic mathematics functionality'; tool is named 'sympy_root' described as 'N-th root.'

Risk signalsAdmin/system-level operation

Questions about sympy_root

What does the sympy_root tool do? +

N-th 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_root? +

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

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

Can I rate-limit sympy_root? +

Yes. Add a rate_limit block to the sympy_root 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_root completely? +

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

sympy_root 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.

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

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