arps_cumulative

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/arps-cumulative.md

WHAT IT DOES

What arps_cumulative does on pyResToolbox MCP Server

AI agents call arps_cumulative 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 arps_cumulative is rated Low

Arps cumulative production is a standard petroleum engineering calculation (Read/compute). No description is provided, lowering confidence. Based on naming conventions and sibling tools like 'arps_rate' and 'decline_forecast', this tool almost certainly calculates cumulative production from decline curve parameters — a read/calculation operation with no side effects.

From the tool's definition Tool name 'arps_cumulative' and server context (petroleum engineering calculations, decline curve analysis). The sibling tool 'arps_rate' suggests Arps decline curve analysis; 'arps_cumulative' likely computes cumulative production from Arps decline equations.

Attacks that exploit this kind of access

RECOMMENDED RULE

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

arps_cumulative Allowed

arps_cumulative 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": {
    "arps_cumulative": {}
  }
}

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 arps_cumulative call is checked against it from then on.

FAQ

Questions about arps_cumulative

What does the arps_cumulative tool do? +

arps_cumulative 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 arps_cumulative? +

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

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

Can I rate-limit arps_cumulative? +

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

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

arps_cumulative 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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