List all deployed tasks on the remote Flyte cluster.
AI agents call list_deployed_tasks to retrieve information from Union MCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves and enumerates information about deployed tasks without modifying, executing, or deleting any data. It is a read-only operation analogous to 'list' or 'get'. The low severity reflects minimal risk even if misused by an agent, as listing available tasks poses no destructive or operational threat.
From the tool's definition Tool name is 'list_deployed_tasks' and description states it 'List all deployed tasks on the remote Flyte cluster' — a pure query operation with no side effects.
Documented attack patterns abuse exactly the kind of access list_deployed_tasks gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Union MCP, and nothing reaches the server without passing your rules. This is the rule we recommend for list_deployed_tasks:
{
"version": "1",
"default": "deny",
"tools": {
"list_deployed_tasks": {}
}
} list_deployed_tasks is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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List all deployed tasks on the remote Flyte cluster. It is categorised as a Read tool in the Union MCP MCP Server, which means it retrieves data without modifying state.
Register the Union MCP server in PolicyLayer and add a rule for list_deployed_tasks: 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 Union MCP. Nothing to install.
list_deployed_tasks is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the list_deployed_tasks 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 list_deployed_tasks. 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.
list_deployed_tasks is provided by the Union MCP server (unionai-oss/union-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Union MCP, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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14 Union MCP tools catalogued and risk-classified — across an index of 43,000+ MCP servers.