New Your team’s decisions, in one playbook every coding agent works from. Never answer your agent twice

get_ui_preference_schema

The engine-owned catalog of SHARED preferences (key, type, label, default, options) that the settings app renders. Apps read effective values via oma.pref(); this tool only describes what exists. Read-only.

SERVEROpen Mcp Apps SOURCE@2nd1st/open-mcp-apps
Low RISK CLASS
Category Read
Parameters 00 required
Recommended Allowedsee the rule below
Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/2nd1st-open-mcp-apps/get-ui-preference-schema.md

What get_ui_preference_schema does on Open Mcp Apps

AI agents call get_ui_preference_schema to retrieve information from Open Mcp Apps without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Why get_ui_preference_schema is rated Low

Tool retrieves preference schema without modifying data or triggering side effects.

From the tool's definition Read-only catalog of preferences and their metadata

Questions about get_ui_preference_schema

What does the get_ui_preference_schema tool do? +

The engine-owned catalog of SHARED preferences (key, type, label, default, options) that the settings app renders. Apps read effective values via oma.pref(); this tool only describes what exists. Read-only. It is categorised as a Read tool in the Open Mcp Apps MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on get_ui_preference_schema? +

Register the Open Mcp Apps MCP server in PolicyLayer and add a rule for get_ui_preference_schema: 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 Open Mcp Apps. Nothing to install.

What risk level is get_ui_preference_schema? +

get_ui_preference_schema is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit get_ui_preference_schema? +

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

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

get_ui_preference_schema is provided by the Open Mcp Apps MCP server (@2nd1st/open-mcp-apps). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

More on Open Mcp Apps, and thousands of servers like it.

// THE MCP REGISTRY

PolicyLayer tracks 44,603 MCP servers and 515,000+ tools.

Every server has a live record: who publishes it, whether it answers without auth, its risk grade, every tool classified, the recommended policy. This page is one line of Open Mcp Apps's. Pull the full record:

Teams ship this data inside their own products. See what a licence covers →

// GET IN TOUCH

Have a question or want to learn more? Send us a message.

Message sent.

We'll get back to you soon.