gas_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/gas-rate-radial.md

WHAT IT DOES

What gas_rate_radial does on pyResToolbox MCP Server

AI agents invoke gas_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 gas_rate_radial is rated High

Based on the server context (petroleum engineering calculations, well performance modeling) and the tool name, this likely performs a radial flow gas rate calculation. Calculations that model well performance are Execute-level operations. However, with no description, confidence is low. Severity is medium given the context of engineering simulations that could influence operational decisions.

From the tool's definition Tool name 'gas_rate_radial' suggests a petroleum engineering calculation (radial flow gas rate), but the description is empty and uninformative.

Attacks that exploit this kind of access

RECOMMENDED RULE

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

gas_rate_radial Rate-limited

gas_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": {
    "gas_rate_radial": {
      "limits": [
        {
          "counter": "gas_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 gas_rate_radial call is checked against it from then on.

FAQ

Questions about gas_rate_radial

What does the gas_rate_radial tool do? +

gas_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 gas_rate_radial? +

Register the pyResToolbox MCP Server MCP server in PolicyLayer and add a rule for gas_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 gas_rate_radial? +

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

Can I rate-limit gas_rate_radial? +

Yes. Add a rate_limit block to the gas_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 gas_rate_radial completely? +

Set action: deny in the PolicyLayer policy for gas_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 gas_rate_radial? +

gas_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.

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