manage_group

A other tool on the Kestra Python MCP server.

SERVERKestra Python MCP Server SOURCEkestra-io/mcp-server-python

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/kestra-io-mcp-server-python/manage-group.md

WHAT IT DOES

What manage_group does on Kestra Python MCP Server

AI agents call manage_group as a supporting operation in Kestra Python MCP Server workflows.

RISK

Why manage_group is rated Low

With an empty description, the exact behavior of 'manage_group' is unknown. Based on the name alone, it likely involves creating, updating, or deleting groups (possibly user/permission groups within Kestra). 'Manage' implies write or administrative operations, but without evidence, confidence is low. Defaulting to Write category behavior is plausible, but cannot confirm severity or category with certainty.

From the tool's definition Tool name is 'manage_group' but description is empty or uninformative. No description provided to clarify what this tool does.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs manage_group safely

PolicyLayer is an MCP gateway: it sits between your AI agents and Kestra Python MCP Server, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For manage_group, this is the rule to start with:

manage_group Rate-limited

manage_group 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": {
    "manage_group": {
      "limits": [
        {
          "counter": "manage_group_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 Kestra Python MCP Server, apply this rule, and every manage_group call is checked against it from then on.

FAQ

Questions about manage_group

What does the manage_group tool do? +

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

How do I enforce a policy on manage_group? +

Register the Kestra Python MCP Server MCP server in PolicyLayer and add a rule for manage_group: 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 Kestra Python MCP Server. Nothing to install.

What risk level is manage_group? +

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

Can I rate-limit manage_group? +

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

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

manage_group is provided by the Kestra Python MCP Server MCP server (kestra-io/mcp-server-python). 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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