geomech_sand_production

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-sand-production.md

WHAT IT DOES

What geomech_sand_production does on pyResToolbox MCP Server

AI agents invoke geomech_sand_production 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_sand_production is rated High

The tool name suggests geomechanics and sand production analysis, likely a calculation/modeling function consistent with the server's petroleum engineering scope. With no description available, I cannot confirm side effects, but given all sibling tools appear to be computational/analytical functions (arps_cumulative, arps_rate, calculate_brine_properties, etc.), this is most likely a Read or Execute calculation tool.

From the tool's definition Tool name 'geomech_sand_production' and empty description; server context involves petroleum engineering calculations including reservoir simulation support

Attacks that exploit this kind of access

RECOMMENDED RULE

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

geomech_sand_production Rate-limited

geomech_sand_production 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_sand_production": {
      "limits": [
        {
          "counter": "geomech_sand_production_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_sand_production call is checked against it from then on.

FAQ

Questions about geomech_sand_production

What does the geomech_sand_production tool do? +

geomech_sand_production 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_sand_production? +

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

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

Can I rate-limit geomech_sand_production? +

Yes. Add a rate_limit block to the geomech_sand_production 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_sand_production completely? +

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

geomech_sand_production 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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