This record as markdown: /tools/io-github-daedalus-mcp-sympy/sympy-asin.md
What sympy_asin does on Pypi:mcp Sympy
AI agents invoke sympy_asin 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.
Why sympy_asin is rated High
This tool executes a SymPy mathematical function (arc sine) on the server side. While it is a pure mathematical computation with no side effects, data writes, or destructive actions, it does involve executing code/computation on the server. Severity is low because misuse is essentially harmless — it can only compute arc sine values.
From the tool's definition 'Arc sine' — a mathematical computation function exposed by an MCP server that runs SymPy symbolic mathematics code
Attacks that exploit this kind of access
The rule that runs sympy_asin 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_asin, this is the rule to start with:
sympy_asin 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.
The button opens the PolicyLayer dashboard: create your workspace, connect Pypi:mcp Sympy, apply this rule, and every sympy_asin call is checked against it from then on.
Questions about sympy_asin
Arc sine. 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.
Register the Pypi:mcp Sympy MCP server in PolicyLayer and add a rule for sympy_asin: 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_asin is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the sympy_asin 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_asin. 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_asin 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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