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What sympy_is_square does on Pypi:mcp Sympy
AI agents call sympy_is_square 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.
Why sympy_is_square is rated Low
This tool retrieves or queries mathematical properties of a number without modifying any data, executing code with side effects, or triggering external operations. It is a deterministic read-only computation from SymPy's symbolic mathematics library. No reversible or irreversible data changes occur, and no financial operations are involved.
From the tool's definition Tool name 'sympy_is_square' and description 'Check if n is a perfect square' indicate a pure query operation that performs a mathematical check and returns a boolean result.
Attacks that exploit this kind of access
The rule that runs sympy_is_square 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_is_square, this is the rule to start with:
sympy_is_square is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Pypi:mcp Sympy, apply this rule, and every sympy_is_square call is checked against it from then on.
Questions about sympy_is_square
Check if n is a perfect square. It is categorised as a Read tool in the Pypi:mcp Sympy MCP Server, which means it retrieves data without modifying state.
Register the Pypi:mcp Sympy MCP server in PolicyLayer and add a rule for sympy_is_square: 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.
sympy_is_square is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the sympy_is_square 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.
Set action: deny in the PolicyLayer policy for sympy_is_square. 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.
sympy_is_square 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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