ratio_forecast

A read tool on the pyResToolbox MCP server.

SERVERpyResToolbox MCP Server SOURCEgabrielserrao/pyrestoolbox-mcp

Low RISK CLASS

Category Read

Parameters 00 required

Recommended Allowedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/gabrielserrao-pyrestoolbox-mcp/ratio-forecast.md

WHAT IT DOES

What ratio_forecast does on pyResToolbox MCP Server

AI agents call ratio_forecast to retrieve information from pyResToolbox MCP Server without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

RISK

Why ratio_forecast is rated Low

The name suggests a forecasting/calculation operation, likely computing ratio-based production forecasts (similar to decline curve analysis tools on the same server like arps_rate, arps_cumulative, duong_rate). Such tools typically perform numerical calculations and return results without side effects. However, the empty description significantly lowers confidence.

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

Attacks that exploit this kind of access

RECOMMENDED RULE

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

ratio_forecast Allowed

ratio_forecast is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "ratio_forecast": {}
  }
}

ALLOW ONLY 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 ratio_forecast call is checked against it from then on.

FAQ

Questions about ratio_forecast

What does the ratio_forecast tool do? +

ratio_forecast is a read tool on the pyResToolbox MCP Server MCP server. It is categorised as a Read tool in the pyResToolbox MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on ratio_forecast? +

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

ratio_forecast is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit ratio_forecast? +

Yes. Add a rate_limit block to the ratio_forecast 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 ratio_forecast completely? +

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

ratio_forecast 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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