get_talentlms_user_progress

Get detailed progress for a user in a specific course.\n\n

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

Low RISK CLASS

Category Read

Parameters 00 required

Recommended Allowedsee the rule below

Registry record Grade F, identity unverified Pull the record →

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

WHAT IT DOES

What get_talentlms_user_progress does on Freshdesk

AI agents call get_talentlms_user_progress to retrieve information from Freshdesk without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

RISK

Why get_talentlms_user_progress is rated Low

This tool retrieves or queries progress data for a user in a course without modifying, deleting, or executing any operations. It is a straightforward read-only operation with no side effects, fitting the Read category. The severity is low because exposing user progress data poses minimal risk if misused—it would only leak information already accessible to course administrators.

From the tool's definition Tool name 'get_talentlms_user_progress' and description 'Get detailed progress for a user in a specific course' indicate a retrieval operation with the verb 'get'.

Attacks that exploit this kind of access

RECOMMENDED RULE

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

get_talentlms_user_progress Allowed

get_talentlms_user_progress is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "get_talentlms_user_progress": {}
  }
}

ALLOW ONLY THIS TOOL → Instant setup, no code required.

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

FAQ

Questions about get_talentlms_user_progress

What does the get_talentlms_user_progress tool do? +

Get detailed progress for a user in a specific course.\n\n. It is categorised as a Read tool in the Freshdesk MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on get_talentlms_user_progress? +

Register the Freshdesk MCP server in PolicyLayer and add a rule for get_talentlms_user_progress: 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 get_talentlms_user_progress? +

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

Can I rate-limit get_talentlms_user_progress? +

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

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

get_talentlms_user_progress 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

get_cocktail_by_category on Cocktails RAG MCP Server →get_torrent_detail on M-Team MCP Server →aiva_get_affiliate on AIVA MCP Server →get-chuck-categories on Jokes MCP Server → The MCP Attack Database →

Guides

Roll out MCP under one policy →Data exfiltration →MCP token cost →