sympy_log

Natural logarithm.

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-log.md

WHAT IT DOES

What sympy_log does on Pypi:mcp Sympy

AI agents invoke sympy_log 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_log is rated High

This tool runs SymPy code to compute a mathematical function (natural logarithm). It executes symbolic computation on the server side. The blast radius is very low as it only performs a pure mathematical operation with no side effects on data or systems, but it falls under Execute since it runs code/computation rather than merely reading stored data.

From the tool's definition MCP server that exposes SymPy's symbolic mathematics functionality; tool name 'sympy_log' described as 'Natural logarithm.'

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs sympy_log 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_log, this is the rule to start with:

sympy_log Rate-limited

sympy_log 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_log": {
      "limits": [
        {
          "counter": "sympy_log_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_log call is checked against it from then on.

FAQ

Questions about sympy_log

What does the sympy_log tool do? +

Natural logarithm. 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_log? +

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

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

Can I rate-limit sympy_log? +

Yes. Add a rate_limit block to the sympy_log 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_log completely? +

Set action: deny in the PolicyLayer policy for sympy_log. 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_log? +

sympy_log 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

More on Pypi:mcp Sympy, and thousands of servers like it.

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Guides

Govern code and CI agents →Agent sandbox →Least privilege for MCP →