oil_material_balance

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-material-balance.md

WHAT IT DOES

What oil_material_balance does on pyResToolbox MCP Server

AI agents invoke oil_material_balance 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_material_balance is rated High

The tool name suggests it performs oil material balance calculations, a common reservoir engineering computation. Given the server context (PVT analysis, reservoir simulation support) and sibling tools that perform calculations/forecasts, this is most likely a computational/execution tool. However, the empty description significantly lowers confidence. It is unlikely to be Destructive or Financial.

From the tool's definition Tool name 'oil_material_balance' on a petroleum engineering server; description is empty and uninformative.

Attacks that exploit this kind of access

RECOMMENDED RULE

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

oil_material_balance Rate-limited

oil_material_balance 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_material_balance": {
      "limits": [
        {
          "counter": "oil_material_balance_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_material_balance call is checked against it from then on.

FAQ

Questions about oil_material_balance

What does the oil_material_balance tool do? +

oil_material_balance 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_material_balance? +

Register the pyResToolbox MCP Server MCP server in PolicyLayer and add a rule for oil_material_balance: 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_material_balance? +

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

Can I rate-limit oil_material_balance? +

Yes. Add a rate_limit block to the oil_material_balance 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_material_balance completely? +

Set action: deny in the PolicyLayer policy for oil_material_balance. 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_material_balance? +

oil_material_balance 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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