outflow_curve
A other tool on the pyResToolbox MCP server.
This record as markdown: /tools/gabrielserrao-pyrestoolbox-mcp/outflow-curve.md
What outflow_curve does on pyResToolbox MCP Server
AI agents call outflow_curve as a supporting operation in pyResToolbox MCP Server workflows.
Why outflow_curve is rated Low
The tool name 'outflow_curve' suggests it likely performs a petroleum engineering calculation related to wellbore outflow or tubing performance curves (a type of read/calculate operation), consistent with sibling tools that perform PVT and reservoir calculations. However, with no description, confidence is low.
From the tool's definition Tool description is empty and uninformative; tool name 'outflow_curve' alone provides limited context.
Attacks that exploit this kind of access
The rule that runs outflow_curve safely
PolicyLayer is an MCP gateway: it sits between your AI agents and pyResToolbox MCP Server, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For outflow_curve, this is the rule to start with:
outflow_curve gets a rate cap, and everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect pyResToolbox MCP Server, apply this rule, and every outflow_curve call is checked against it from then on.
Questions about outflow_curve
outflow_curve is a other tool on the pyResToolbox MCP Server MCP server. It is categorised as a Other tool in the pyResToolbox MCP Server MCP Server, which means it performs auxiliary operations.
Register the pyResToolbox MCP Server MCP server in PolicyLayer and add a rule for outflow_curve: 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 pyResToolbox MCP Server. Nothing to install.
outflow_curve is a Other tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the outflow_curve 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 outflow_curve. 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.
outflow_curve is provided by the pyResToolbox MCP Server MCP server (gabrielserrao/pyrestoolbox-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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