sympy_subs

Substitute in expression.

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-subs.md

WHAT IT DOES

What sympy_subs does on Pypi:mcp Sympy

AI agents invoke sympy_subs 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.

RISK

Why sympy_subs is rated High

Substitution in a symbolic math library executes a transformation on an expression, potentially evaluating or simplifying it. It doesn't purely read static data but actively computes a result. No destructive, financial, or write side effects are expected, but the operation executes symbolic computation whose result depends on arguments. Confidence is moderate because the description is minimal.

From the tool's definition 'Substitute in expression' — performs symbolic substitution which evaluates/transforms expressions

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs sympy_subs 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_subs, this is the rule to start with:

sympy_subs Rate-limited

sympy_subs stays usable, but rate-capped: a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "sympy_subs": {
      "limits": [
        {
          "counter": "sympy_subs_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

RATE-LIMIT 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_subs call is checked against it from then on.

FAQ

Questions about sympy_subs

What does the sympy_subs tool do? +

Substitute in expression. 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_subs? +

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

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

Can I rate-limit sympy_subs? +

Yes. Add a rate_limit block to the sympy_subs 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_subs completely? +

Set action: deny in the PolicyLayer policy for sympy_subs. 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_subs? +

sympy_subs 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.

KEEP EXPLORING

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