sympy_im

Imaginary part.

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-im.md

WHAT IT DOES

What sympy_im does on Pypi:mcp Sympy

AI agents call sympy_im 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_im is rated Low

This tool performs a read-only mathematical operation (extracting the imaginary part of a complex expression) with no side effects, data modification, or external operations. It is consistent with the other SymPy math tools on this server (acos, asin, atan, abs, etc.) which are all pure computational functions.

From the tool's definition Tool name 'sympy_im' and description 'Imaginary part.' indicate a pure mathematical computation that retrieves the imaginary component of a symbolic expression.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs sympy_im 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_im, this is the rule to start with:

sympy_im Allowed

sympy_im 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_im": {}
  }
}

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_im call is checked against it from then on.

FAQ

Questions about sympy_im

What does the sympy_im tool do? +

Imaginary part. 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_im? +

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

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

Can I rate-limit sympy_im? +

Yes. Add a rate_limit block to the sympy_im 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_im completely? +

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

sympy_im 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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