sympy_count_ops

Count operations.

SERVERPypi:mcp Sympy SOURCEpypi:mcp-sympy

Low RISK CLASS

Category Read

Parameters 00 required

Recommended Allowedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-github-daedalus-mcp-sympy/sympy-count-ops.md

WHAT IT DOES

What sympy_count_ops does on Pypi:mcp Sympy

AI agents call sympy_count_ops to retrieve information from Pypi:mcp Sympy without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

RISK

Why sympy_count_ops is rated Low

This tool retrieves metadata (operation count) from a mathematical expression. It performs a read-only analysis with no side effects, no data modification, no code execution, and no financial impact. The blast radius of misuse is minimal—worst case, an agent wastes compute resources analyzing expressions.

From the tool's definition Tool name 'sympy_count_ops' and description 'Count operations' indicate a query/analysis operation on symbolic mathematics objects.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs sympy_count_ops 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_count_ops, this is the rule to start with:

sympy_count_ops Allowed

sympy_count_ops is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "sympy_count_ops": {}
  }
}

ALLOW ONLY 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_count_ops call is checked against it from then on.

FAQ

Questions about sympy_count_ops

What does the sympy_count_ops tool do? +

Count operations. It is categorised as a Read tool in the Pypi:mcp Sympy MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on sympy_count_ops? +

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

sympy_count_ops is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit sympy_count_ops? +

Yes. Add a rate_limit block to the sympy_count_ops 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_count_ops completely? +

Set action: deny in the PolicyLayer policy for sympy_count_ops. 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_count_ops? +

sympy_count_ops 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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