This record as markdown: /tools/io-github-daedalus-mcp-sympy/sympy-diag.md
What sympy_diag does on Pypi:mcp Sympy
AI agents use sympy_diag 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_diag is rated Medium
The sympy_diag function creates mathematical objects (diagonal matrices) as output. This is a data creation operation with no side effects on external systems, no irreversible changes, and no code execution. It falls under Write rather than Read because it constructs new data rather than querying existing data.
From the tool's definition Tool creates a diagonal matrix, which generates new data structures in memory without retrieving existing data or causing destructive side effects.
Attacks that exploit this kind of access
The rule that runs sympy_diag 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_diag, this is the rule to start with:
sympy_diag 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_diag call is checked against it from then on.
Questions about sympy_diag
Create a diagonal matrix. 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_diag: 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_diag 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_diag 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_diag. 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_diag 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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