This record as markdown: /tools/io-github-daedalus-mcp-sympy/sympy-integer.md
What sympy_integer does on Pypi:mcp Sympy
AI agents use sympy_integer 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.
Why sympy_integer is rated Medium
This tool creates a SymPy Integer object in memory. It is a write/construction operation with no side effects beyond creating an in-memory symbolic value. No data is read from external sources, no code is executed, and nothing is deleted. Severity is low because misuse has negligible blast radius.
From the tool's definition "Create Integer" — creates a symbolic integer object in SymPy
Attacks that exploit this kind of access
The rule that runs sympy_integer 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_integer, this is the rule to start with:
sympy_integer 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.
The button opens the PolicyLayer dashboard: create your workspace, connect Pypi:mcp Sympy, apply this rule, and every sympy_integer call is checked against it from then on.
Questions about sympy_integer
Create Integer. 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.
Register the Pypi:mcp Sympy MCP server in PolicyLayer and add a rule for sympy_integer: 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_integer is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the sympy_integer 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_integer. 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_integer 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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