fit_decline_cumulative

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/fit-decline-cumulative.md

WHAT IT DOES

What fit_decline_cumulative does on pyResToolbox MCP Server

AI agents invoke fit_decline_cumulative 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 fit_decline_cumulative is rated High

With an empty description, classification relies on the tool name and context. 'fit_decline_cumulative' likely fits a decline curve model to cumulative production data — a computational/analytical operation. Sibling tools suggest this server performs engineering calculations rather than data storage operations, so Execute (running a fitting/computation) is most appropriate.

From the tool's definition Tool name 'fit_decline_cumulative' and sibling tools like 'arps_cumulative', 'arps_rate', 'decline_forecast', 'duong_rate' suggest petroleum decline curve analysis computations. Description is empty.

Attacks that exploit this kind of access

RECOMMENDED RULE

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

fit_decline_cumulative Rate-limited

fit_decline_cumulative 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": {
    "fit_decline_cumulative": {
      "limits": [
        {
          "counter": "fit_decline_cumulative_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 fit_decline_cumulative call is checked against it from then on.

FAQ

Questions about fit_decline_cumulative

What does the fit_decline_cumulative tool do? +

fit_decline_cumulative 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 fit_decline_cumulative? +

Register the pyResToolbox MCP Server MCP server in PolicyLayer and add a rule for fit_decline_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 fit_decline_cumulative? +

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

Can I rate-limit fit_decline_cumulative? +

Yes. Add a rate_limit block to the fit_decline_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 fit_decline_cumulative completely? +

Set action: deny in the PolicyLayer policy for fit_decline_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 fit_decline_cumulative? +

fit_decline_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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