sympy_Nand

Logical NAND.

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-nand.md

WHAT IT DOES

What sympy_Nand does on Pypi:mcp Sympy

AI agents invoke sympy_Nand 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_Nand is rated High

This tool performs a logical NAND operation using SymPy, which computes a symbolic expression. It executes a mathematical/logical computation but has no side effects on data, systems, or external resources. Categorized as Execute rather than Read because it performs computation/evaluation rather than simple data retrieval. Severity is low as misuse is limited to incorrect mathematical results with no system impact.

From the tool's definition Logical NAND operation exposed through SymPy's symbolic mathematics functionality

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs sympy_Nand 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_Nand, this is the rule to start with:

sympy_Nand Rate-limited

sympy_Nand 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_Nand": {
      "limits": [
        {
          "counter": "sympy_nand_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_Nand call is checked against it from then on.

FAQ

Questions about sympy_Nand

What does the sympy_Nand tool do? +

Logical NAND. 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_Nand? +

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

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

Can I rate-limit sympy_Nand? +

Yes. Add a rate_limit block to the sympy_Nand 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_Nand completely? +

Set action: deny in the PolicyLayer policy for sympy_Nand. 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_Nand? +

sympy_Nand 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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