get_ui_info

Returns the URL and port of the Task Trellis browser UI. Use when the user asks about the Task Trellis UI, where to view issues in a browser, or asks you to open the UI.

ServerTask Trellis MCP
CategoryRead

How to control get_ui_info ↓

WHAT IT DOES

What get_ui_info does on Task Trellis MCP

AI agents call get_ui_info to retrieve information from Task Trellis MCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

THE RISK

Low Risk

Why get_ui_info needs a policy

This tool retrieves configuration information (URL and port) about a UI endpoint. It does not create, modify, delete, execute code, or commit financial obligations. It is a straightforward read operation that queries system state without altering it.

From the tool's definition Tool description states it 'Returns the URL and port of the Task Trellis browser UI' — a pure data retrieval operation with no side effects.

Documented attack patterns abuse exactly the kind of access get_ui_info gives an agent:

POLICY

How to control get_ui_info

PolicyLayer is an MCP gateway — it sits between your AI agents and Task Trellis MCP, and nothing reaches the server without passing your rules. This is the rule we recommend for get_ui_info:

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "get_ui_info": {}
  }
}

get_ui_info is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

Create a free account and register Task Trellis MCP — nothing to install.
Add this policy — paste it, or build it visually.
Point your MCP client (Claude, Cursor, anything) at your gateway URL.

CAP THIS TOOL →

Free to start. No card required.

EXPLORE

Related tools and policies

More Task Trellis MCP tools

Destructive delete_issue Deletes an issue from the task trellis system Use this tool to permanently remove issues Destructive delete_project_file Deletes a named file from the project Destructive remove_attachment Deletes a named file from the managed attachments folder for a Trellis issue. Errors if t Write add_attachment Copies a file into the managed attachments folder for a Trellis issue. Errors if the issu Write append_issue_log Appends content to an issue Write append_modified_files Appends modified files information to a trellis issue in the task trellis system Use this Write claim_task Claims a task in the task trellis system Use this tool to assign yourself to available ta Write create_issue Creates a new issue in the task trellis system Use this tool to create new issues such as

All 16 Task Trellis MCP tools →

Read tools on other servers

M-Team MCP Server get_torrent_detail YouTube MCP Server search_channel Android Forensics ADB MCP Server parse_browser_history 0xarchive web3_challenge

Go deeper

The MCP Attack Database → Documented attack patterns against MCP deployments — and the policies that stop them.
Data exfiltration → How read access becomes an exfiltration channel when chained with untrusted content.
MCP token cost → What connecting this server costs in context-window tokens on every request.
Rate Limiting MCP Tool Calls: A Practical Guide →
MCP Security: Why Prompt Guardrails Aren't Enough →

FAQ

Questions about get_ui_info

What does the get_ui_info tool do? +

Returns the URL and port of the Task Trellis browser UI. Use when the user asks about the Task Trellis UI, where to view issues in a browser, or asks you to open the UI. It is categorised as a Read tool in the Task Trellis MCP MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on get_ui_info? +

Register the Task Trellis MCP server in PolicyLayer and add a rule for get_ui_info: 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 Task Trellis MCP. Nothing to install.

What risk level is get_ui_info? +

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

Can I rate-limit get_ui_info? +

Yes. Add a rate_limit block to the get_ui_info 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_info completely? +

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

get_ui_info is provided by the Task Trellis MCP server (langadventurellc/task-trellis-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Task Trellis MCP tool call.

Start from Task Trellis MCP, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

CHECK YOUR STACK →

Free to start. No card required.

16 Task Trellis MCP tools catalogued and risk-classified — across an index of 43,000+ MCP servers.