create_talentlms_user

Create a new user in TalentLMS.\n\n

SERVERFreshdesk SOURCE@mindstone-engineering/mcp-server-freshdesk

Medium RISK CLASS

Category Write

Parameters 00 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/freshdesk/create-talentlms-user.md

WHAT IT DOES

What create_talentlms_user does on Freshdesk

AI agents use create_talentlms_user to create or update resources in Freshdesk, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Freshdesk environment.

RISK

Why create_talentlms_user is rated Medium

This tool creates new data (user accounts) in TalentLMS, which is a reversible operation—users can be modified or deactivated later. It does not execute arbitrary code, delete data, or move money, so it falls under Write category.

From the tool's definition Tool name 'create_talentlms_user' and description 'Create a new user in TalentLMS' indicate the tool creates new user records in an external learning management system.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs create_talentlms_user safely

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

create_talentlms_user Rate-limited

create_talentlms_user stays usable, but capped: an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "create_talentlms_user": {
      "limits": [
        {
          "counter": "create_talentlms_user_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Freshdesk, apply this rule, and every create_talentlms_user call is checked against it from then on.

FAQ

Questions about create_talentlms_user

What does the create_talentlms_user tool do? +

Create a new user in TalentLMS.\n\n. It is categorised as a Write tool in the Freshdesk MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on create_talentlms_user? +

Register the Freshdesk MCP server in PolicyLayer and add a rule for create_talentlms_user: 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 Freshdesk. Nothing to install.

What risk level is create_talentlms_user? +

create_talentlms_user is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit create_talentlms_user? +

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

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

create_talentlms_user is provided by the Freshdesk MCP server (@mindstone-engineering/mcp-server-freshdesk). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

KEEP EXPLORING

More on Freshdesk, and thousands of servers like it.

This server

All 422 Freshdesk tools →

Across the catalogue

create_task on 0rca Dojo MCP Server →create-task on Kanban MCP Server →create_package_backup on Android Forensics ADB MCP Server →create_project on Stitch MCP Server → The MCP Attack Database →

Guides

Govern customer-ops agents →Argument validation →Scoped token →