update_glp_user_preferences

Update a GLP user's preferences (idle timeout, language).

SERVERAPI-Central SOURCEsecure-ssid/centralmcp

Medium RISK CLASS

Category Write

Parameters 00 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/secure-ssid-centralmcp/update-glp-user-preferences.md

WHAT IT DOES

What update_glp_user_preferences does on API-Central

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

RISK

Why update_glp_user_preferences is rated Medium

This tool creates or modifies user preferences reversibly (idle timeout and language settings can be changed back). It affects user account settings but does not delete data, execute arbitrary operations, move money, or trigger irreversible destructive actions.

From the tool's definition Tool name 'update_glp_user_preferences' and description 'Update a GLP user's preferences (idle timeout, language)' explicitly indicate modification of user configuration data.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs update_glp_user_preferences safely

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

update_glp_user_preferences Rate-limited

update_glp_user_preferences 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_glp_user_preferences": {
      "limits": [
        {
          "counter": "update_glp_user_preferences_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 API-Central, apply this rule, and every update_glp_user_preferences call is checked against it from then on.

FAQ

Questions about update_glp_user_preferences

What does the update_glp_user_preferences tool do? +

Update a GLP user's preferences (idle timeout, language). It is categorised as a Write tool in the API-Central MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on update_glp_user_preferences? +

Register the API-Central MCP server in PolicyLayer and add a rule for update_glp_user_preferences: 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 API-Central. Nothing to install.

What risk level is update_glp_user_preferences? +

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

Can I rate-limit update_glp_user_preferences? +

Yes. Add a rate_limit block to the update_glp_user_preferences 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_glp_user_preferences completely? +

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

update_glp_user_preferences is provided by the API-Central MCP server (secure-ssid/centralmcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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