confirm_user
AI agents use confirm_user to create or update resources in MCP PostgreSQL Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your MCP PostgreSQL Server environment.
The name 'confirm_user' suggests a write/state-change operation (e.g., confirming or activating a user account). Based on sibling tools like 'confirm_users_batch' (the batch variant), this likely modifies a user's status or confirmation state in the PostgreSQL backend.
From the tool's definition Tool name 'confirm_user'; description is empty and uninformative.
Attacks that exploit this kind of access
confirm_user. It is categorised as a Write tool in the MCP PostgreSQL Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the MCP PostgreSQL Server MCP server in PolicyLayer and add a rule for confirm_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 MCP PostgreSQL Server. Nothing to install.
confirm_user is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the confirm_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 confirm_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.
confirm_user is provided by the MCP PostgreSQL Server MCP server (shubham-mishra-remotedesk/mcp-personal-efforti). 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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