recommend_methods

A other tool on the pyResToolbox MCP server.

SERVERpyResToolbox MCP Server SOURCEgabrielserrao/pyrestoolbox-mcp

Low RISK CLASS

Category Other

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/recommend-methods.md

WHAT IT DOES

What recommend_methods does on pyResToolbox MCP Server

AI agents call recommend_methods as a supporting operation in pyResToolbox MCP Server workflows.

RISK

Why recommend_methods is rated Low

With no description available, the tool name 'recommend_methods' suggests it provides recommendations or suggestions (a read-like operation), likely advising which petroleum engineering methods/correlations to use. This would be a read/informational operation with no side effects. However, confidence is low due to the empty description.

From the tool's definition Tool name is 'recommend_methods' and description is empty or uninformative.

Attacks that exploit this kind of access

RECOMMENDED RULE

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

recommend_methods Rate-limited

recommend_methods gets a rate cap, and everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "recommend_methods": {
      "limits": [
        {
          "counter": "recommend_methods_rate",
          "window": "minute",
          "max": 60,
          "scope": "grant"
        }
      ]
    }
  }
}

SET A RULE FOR 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 recommend_methods call is checked against it from then on.

FAQ

Questions about recommend_methods

What does the recommend_methods tool do? +

recommend_methods is a other tool on the pyResToolbox MCP Server MCP server. It is categorised as a Other tool in the pyResToolbox MCP Server MCP Server, which means it performs auxiliary operations.

How do I enforce a policy on recommend_methods? +

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

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

Can I rate-limit recommend_methods? +

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

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

recommend_methods 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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