Display information about a Salesforce user. Output includes the profile name, org ID, access token, instance URL, login URL, and alias if applicable. The displayed alias is local and different from the Alias field of the User sObject record of the new user, which you set in the Setup UI.
AI agents call display_user to retrieve information from Salesforce CLI MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool reads and retrieves user information. However, it exposes highly sensitive security credentials including the access token and instance URL, which could be used to impersonate the user or gain unauthorized access to the Salesforce org. While it's a Read operation, the severity is high due to the credential exposure risk.
From the tool's definition Display information about a Salesforce user. Output includes the profile name, org ID, access token, instance URL, login URL, and alias if applicable.
Attacks that exploit this kind of access
Display information about a Salesforce user. Output includes the profile name, org ID, access token, instance URL, login URL, and alias if applicable. The displayed alias is local and different from the Alias field of the User sObject record of the new user, which you set in the Setup UI. It is categorised as a Read tool in the Salesforce CLI MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Salesforce CLI MCP Server MCP server in PolicyLayer and add a rule for display_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 Salesforce CLI MCP Server. Nothing to install.
display_user is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the display_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.
Set action: deny in the PolicyLayer policy for display_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.
display_user is provided by the Salesforce CLI MCP Server MCP server (perrynet/salesforce-cli-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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