sympy_ones

Create a matrix of ones.

SERVERPypi:mcp Sympy SOURCEpypi:mcp-sympy

Medium RISK CLASS

Category Write

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-ones.md

WHAT IT DOES

What sympy_ones does on Pypi:mcp Sympy

AI agents use sympy_ones to create or update resources in Pypi:mcp Sympy, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Pypi:mcp Sympy environment.

RISK

Why sympy_ones is rated Medium

The tool creates a new symbolic mathematics object (a matrix) in memory, which is a write-like operation. However, it has minimal severity because: (1) it only creates reversible mathematical data structures, (2) no persistent state is modified, (3) no external systems are affected, (4) the operation is deterministic and safe. It does not execute arbitrary code, delete data, or cause financial impact.

From the tool's definition Tool name 'sympy_ones' and description 'Create a matrix of ones' indicate the tool creates and returns a new mathematical object (a matrix). This is a data creation operation with no side effects beyond the returned value.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs sympy_ones 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_ones, this is the rule to start with:

sympy_ones Rate-limited

sympy_ones stays usable, but capped: an agent stuck in a loop can't make hundreds of changes 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_ones": {
      "limits": [
        {
          "counter": "sympy_ones_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

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_ones call is checked against it from then on.

FAQ

Questions about sympy_ones

What does the sympy_ones tool do? +

Create a matrix of ones. It is categorised as a Write tool in the Pypi:mcp Sympy MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on sympy_ones? +

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

sympy_ones is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit sympy_ones? +

Yes. Add a rate_limit block to the sympy_ones 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_ones completely? +

Set action: deny in the PolicyLayer policy for sympy_ones. 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_ones? +

sympy_ones 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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