update_portal_user

SERVERQuintaDB SOURCEhttps://quintadb.com/mcp

Medium RISK CLASS

Category Write

Parameters 83 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/com-quintadb-mcp/update-portal-user.md

WHAT IT DOES

What update_portal_user does on QuintaDB

AI agents use update_portal_user to create or update resources in QuintaDB, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your QuintaDB environment.

Parameter	Type	Required	Description
`email`	string	—	The new email address
`login`	string	—	The new login. Changing the email does not change the login.
`phone`	string	—
`app_id`	string	Yes	Project ID (from list_projects)
`user_id`	string	Yes	The person's id from list_portal_users
`last_name`	string	—
`portal_id`	string	Yes	Portal ID (from list_portals or describe_project)
`first_name`	string	—

Parameters from the server's own tool schema.

RISK

Why update_portal_user is rated Medium

An AI agent can call update_portal_user faster than any human can review: one bad instruction and it creates or modifies resources in QuintaDB by the hundred, each call as confident as the last.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs update_portal_user safely

PolicyLayer is an MCP gateway: it sits between your AI agents and QuintaDB, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For update_portal_user, this is the rule to start with:

update_portal_user Rate-limited

update_portal_user 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": {
    "update_portal_user": {
      "limits": [
        {
          "counter": "update_portal_user_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 QuintaDB, apply this rule, and every update_portal_user call is checked against it from then on.

FAQ

Questions about update_portal_user

What does the update_portal_user tool do? +

Change a person's account in a portal: their email address, login, first name, last name or phone. Pass only what the person asked to change; nothing else is touched. The answer says CHANGED (was → now) / UNCHANGED per item. A password is NEVER set here and never asked for in the chat: send_portal_user_password_letter mails the person a link to set their own. It is categorised as a Write tool in the QuintaDB MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

What parameters does update_portal_user accept? +

update_portal_user accepts 8 parameters: email, login, phone, app_id, user_id, last_name, portal_id, first_name. Required: app_id, user_id, portal_id. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on update_portal_user? +

Register the QuintaDB MCP server in PolicyLayer and add a rule for update_portal_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 QuintaDB. Nothing to install.

What risk level is update_portal_user? +

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

Can I rate-limit update_portal_user? +

Yes. Add a rate_limit block to the update_portal_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.

How do I block update_portal_user completely? +

Set action: deny in the PolicyLayer policy for update_portal_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.

What MCP server provides update_portal_user? +

update_portal_user is provided by the QuintaDB MCP server (https://quintadb.com/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

KEEP EXPLORING

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