sympy_limit

Compute a limit.

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-limit.md

WHAT IT DOES

What sympy_limit does on Pypi:mcp Sympy

AI agents invoke sympy_limit 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_limit is rated High

The tool executes a symbolic mathematics computation (limit calculation) via SymPy. While it reads/computes rather than modifying data, it runs code in a mathematical engine, making Execute the most accurate category. The blast radius is low since it only performs mathematical computations with no side effects on external systems.

From the tool's definition 'Compute a limit' — performs a mathematical computation using SymPy's symbolic engine

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs sympy_limit 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_limit, this is the rule to start with:

sympy_limit Rate-limited

sympy_limit 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_limit": {
      "limits": [
        {
          "counter": "sympy_limit_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_limit call is checked against it from then on.

FAQ

Questions about sympy_limit

What does the sympy_limit tool do? +

Compute a limit. 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_limit? +

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

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

Can I rate-limit sympy_limit? +

Yes. Add a rate_limit block to the sympy_limit 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_limit completely? +

Set action: deny in the PolicyLayer policy for sympy_limit. 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_limit? +

sympy_limit 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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