extract_eclipse_problem_cells

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/extract-eclipse-problem-cells.md

WHAT IT DOES

What extract_eclipse_problem_cells does on pyResToolbox MCP Server

AI agents call extract_eclipse_problem_cells 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 extract_eclipse_problem_cells is rated Low

The tool appears to retrieve or identify problematic cells from ECLIPSE simulation runs for analysis purposes. This is a read-only diagnostic operation with no side effects—it does not modify simulation data, delete anything, or trigger external operations with unpredictable consequences.

From the tool's definition Tool name 'extract_eclipse_problem_cells' suggests retrieval or analysis of diagnostic data from ECLIPSE (a reservoir simulation software). The 'extract' verb indicates querying/reading existing simulation results rather than modifying them.

Attacks that exploit this kind of access

RECOMMENDED RULE

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

extract_eclipse_problem_cells Allowed

extract_eclipse_problem_cells 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": {
    "extract_eclipse_problem_cells": {}
  }
}

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 extract_eclipse_problem_cells call is checked against it from then on.

FAQ

Questions about extract_eclipse_problem_cells

What does the extract_eclipse_problem_cells tool do? +

extract_eclipse_problem_cells 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 extract_eclipse_problem_cells? +

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

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

Can I rate-limit extract_eclipse_problem_cells? +

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

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

extract_eclipse_problem_cells 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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