geomech_fault_stability

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/geomech-fault-stability.md

WHAT IT DOES

What geomech_fault_stability does on pyResToolbox MCP Server

AI agents invoke geomech_fault_stability 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 geomech_fault_stability is rated High

Based on the server context (petroleum engineering calculations) and tool name, this tool likely performs geomechanical fault stability analysis calculations. In the context of sibling tools that perform calculations (arps_rate, arps_cumulative, etc.), this is most likely a computational/analytical tool (Execute or Read). With no description available, confidence is low.

From the tool's definition Tool name 'geomech_fault_stability' suggests geomechanical fault stability calculation, but description is empty and uninformative.

Attacks that exploit this kind of access

RECOMMENDED RULE

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

geomech_fault_stability Rate-limited

geomech_fault_stability 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": {
    "geomech_fault_stability": {
      "limits": [
        {
          "counter": "geomech_fault_stability_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 geomech_fault_stability call is checked against it from then on.

FAQ

Questions about geomech_fault_stability

What does the geomech_fault_stability tool do? +

geomech_fault_stability 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 geomech_fault_stability? +

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

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

Can I rate-limit geomech_fault_stability? +

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

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

geomech_fault_stability 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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