oil_rate_radial

A execute tool on the pyResToolbox MCP server.

SERVERpyResToolbox MCP Server SOURCEgabrielserrao/pyrestoolbox-mcp

High RISK CLASS

Category Execute

Parameters 00 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/gabrielserrao-pyrestoolbox-mcp/oil-rate-radial.md

WHAT IT DOES

What oil_rate_radial does on pyResToolbox MCP Server

AI agents invoke oil_rate_radial to trigger actions in pyResToolbox MCP Server. 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.

RISK

Why oil_rate_radial is rated High

No description is provided, which significantly reduces confidence. Based on the name, this tool likely performs a petroleum engineering calculation (radial flow rate for oil wells). Sibling tools like 'arps_rate', 'decline_forecast', and 'create_oil_pvt' suggest this server performs calculations/modeling.

From the tool's definition Tool name 'oil_rate_radial' and empty description. Name suggests calculating oil flow rate using radial flow equations (Darcy's law for radial geometry), consistent with well performance modeling mentioned in server description.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs oil_rate_radial 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 oil_rate_radial, this is the rule to start with:

oil_rate_radial Rate-limited

oil_rate_radial 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.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "oil_rate_radial": {
      "limits": [
        {
          "counter": "oil_rate_radial_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

RATE-LIMIT THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect pyResToolbox MCP Server, apply this rule, and every oil_rate_radial call is checked against it from then on.

FAQ

Questions about oil_rate_radial

What does the oil_rate_radial tool do? +

oil_rate_radial is a execute tool on the pyResToolbox MCP Server MCP server. It is categorised as a Execute tool in the pyResToolbox MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on oil_rate_radial? +

Register the pyResToolbox MCP Server MCP server in PolicyLayer and add a rule for oil_rate_radial: 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.

What risk level is oil_rate_radial? +

oil_rate_radial is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit oil_rate_radial? +

Yes. Add a rate_limit block to the oil_rate_radial 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.

How do I block oil_rate_radial completely? +

Set action: deny in the PolicyLayer policy for oil_rate_radial. 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.

What MCP server provides oil_rate_radial? +

oil_rate_radial 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.

KEEP EXPLORING

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