edit_user_profile | PolicyLayer

WHAT IT DOES

What edit_user_profile does on Cloudera Data Visualization MCP Server

AI agents use edit_user_profile to create or update resources in Cloudera Data Visualization MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Cloudera Data Visualization MCP Server environment.

WHY IT NEEDS A POLICY

Why edit_user_profile needs a policy

This tool creates or modifies user profile data reversibly. It allows updates to user attributes (email, name) without permanent deletion. The impact is limited to individual user records rather than system-wide resources. Classified as Write (not Execute) because it modifies data through a dedicated API rather than executing arbitrary code.

From the tool's definition Tool name 'edit_user_profile' and description 'Edit the profile of a CDV user identified by username (e.g. update email, name)' indicate modification of user account data including email and name fields.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

edit_user_profile Rate-limited

edit_user_profile 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": {
    "edit_user_profile": {
      "limits": [
        {
          "counter": "edit_user_profile_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL →

Instant setup, no code required.

PolicyLayer is an MCP gateway: every tool call is checked against your rule before it reaches Cloudera Data Visualization MCP Server, so you can run agents against it safely.

FAQ

Questions about edit_user_profile

What does the edit_user_profile tool do? +

Edit the profile of a CDV user identified by username (e.g. update email, name). It is categorised as a Write tool in the Cloudera Data Visualization MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on edit_user_profile? +

Register the Cloudera Data Visualization MCP Server MCP server in PolicyLayer and add a rule for edit_user_profile: 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 Cloudera Data Visualization MCP Server. Nothing to install.

What risk level is edit_user_profile? +

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

Can I rate-limit edit_user_profile? +

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

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

edit_user_profile is provided by the Cloudera Data Visualization MCP Server MCP server (kevintalbert/cdv-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.