sympy_args

Get arguments of expression.

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-args.md

WHAT IT DOES

What sympy_args does on Pypi:mcp Sympy

AI agents call sympy_args 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_args is rated Low

This is a SymPy introspection function that retrieves metadata about mathematical expressions. It returns the arguments of a symbolic expression, which is a read-only operation with no side effects. It performs no modifications, deletions, execution, or external operations. Misuse poses minimal risk.

From the tool's definition Tool name 'sympy_args' and description 'Get arguments of expression' indicate a query/retrieval operation that extracts properties from symbolic expressions without modifying them.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs sympy_args 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_args, this is the rule to start with:

sympy_args Allowed

sympy_args 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_args": {}
  }
}

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_args call is checked against it from then on.

FAQ

Questions about sympy_args

What does the sympy_args tool do? +

Get arguments of expression. 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_args? +

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

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

Can I rate-limit sympy_args? +

Yes. Add a rate_limit block to the sympy_args 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_args completely? +

Set action: deny in the PolicyLayer policy for sympy_args. 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_args? +

sympy_args 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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