add_course_to_talentlms_group

Assign a course to a group. All group members will be enrolled.

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/add-course-to-talentlms-group.md

WHAT IT DOES

What add_course_to_talentlms_group does on Freshdesk

AI agents use add_course_to_talentlms_group 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 add_course_to_talentlms_group is rated Medium

This action creates or modifies learner enrollment data reversibly. While it affects multiple users (group members), the operation is Write rather than Execute because it performs a defined business action (course assignment) rather than executing arbitrary code. It is not Destructive since enrollments can be reversed/unenrolled.

From the tool's definition Tool performs 'Assign a course to a group' which modifies state by enrolling group members in a course. The description explicitly indicates this creates new enrollments (side effects that modify learner records).

Attacks that exploit this kind of access

RECOMMENDED RULE

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

add_course_to_talentlms_group Rate-limited

add_course_to_talentlms_group 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": {
    "add_course_to_talentlms_group": {
      "limits": [
        {
          "counter": "add_course_to_talentlms_group_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 add_course_to_talentlms_group call is checked against it from then on.

FAQ

Questions about add_course_to_talentlms_group

What does the add_course_to_talentlms_group tool do? +

Assign a course to a group. All group members will be enrolled. 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 add_course_to_talentlms_group? +

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

What risk level is add_course_to_talentlms_group? +

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

Can I rate-limit add_course_to_talentlms_group? +

Yes. Add a rate_limit block to the add_course_to_talentlms_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 add_course_to_talentlms_group completely? +

Set action: deny in the PolicyLayer policy for add_course_to_talentlms_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 add_course_to_talentlms_group? +

add_course_to_talentlms_group 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.

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