decline_forecast

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/decline-forecast.md

WHAT IT DOES

What decline_forecast does on pyResToolbox MCP Server

AI agents invoke decline_forecast 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 decline_forecast is rated High

The description is empty, which lowers confidence significantly. Based on the tool name and server context, 'decline_forecast' most likely performs a computational forecast (decline curve analysis) by running calculations using input parameters — consistent with Execute. It appears to produce results (forecasted production rates/cumulative production) without storing or deleting data.

From the tool's definition Tool name 'decline_forecast' on a petroleum engineering server with sibling tools like 'arps_rate', 'arps_cumulative', 'duong_rate', and 'estimated_ultimate_recovery' — all related to decline curve analysis and production forecasting calculations.

Attacks that exploit this kind of access

RECOMMENDED RULE

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

decline_forecast Rate-limited

decline_forecast 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": {
    "decline_forecast": {
      "limits": [
        {
          "counter": "decline_forecast_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 decline_forecast call is checked against it from then on.

FAQ

Questions about decline_forecast

What does the decline_forecast tool do? +

decline_forecast 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 decline_forecast? +

Register the pyResToolbox MCP Server MCP server in PolicyLayer and add a rule for decline_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 decline_forecast? +

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

Can I rate-limit decline_forecast? +

Yes. Add a rate_limit block to the decline_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 decline_forecast completely? +

Set action: deny in the PolicyLayer policy for decline_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 decline_forecast? +

decline_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.

KEEP EXPLORING

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