智能体对话选 Agent 直达、澄清问题批量提交、LLM 错误中文化等

- 前端：新会话选 Agent 后直接跳转并自动发送，智能体页输入框宽度与首页对齐
- 前端：澄清卡片支持多选+多问题合并提交，消除单题逐一发送的割裂感
- 前端：定时任务弹窗 Agent 下拉支持长描述截断，避免撑破布局
- 后端：ask_clarification 支持同回合多次调用以提多个独立问题
- 后端：LLM 错误处理与定时任务失败提示统一改为中文

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

frontend-web/src/components/workspace/messages/message-list.tsx

@@ -1,6 +1,6 @@
 import type { BaseStream } from "@langchain/langgraph-sdk/react";
 import { CheckIcon, SendIcon, XIcon } from "lucide-react";
-import { useMemo, useState } from "react";
+import { useCallback, useMemo, useState } from "react";
 
 import {
   Conversation,
@@ -64,6 +64,111 @@ export function MessageList({
   const rehypePlugins = useRehypeSplitWordsIntoSpans(thread.isLoading);
   const updateSubtask = useUpdateSubtask();
   const messages = thread.messages;
+
+  // Track which clarification messages are still awaiting an answer.
+  // Pending = clarification tool messages that appear after the last human message
+  // (no user reply has been sent for them yet).
+  const pendingClarificationIds = useMemo(() => {
+    let lastHumanIndex = -1;
+    for (let i = messages.length - 1; i >= 0; i--) {
+      if (messages[i]?.type === "human") {
+        lastHumanIndex = i;
+        break;
+      }
+    }
+    const ids: string[] = [];
+    for (let i = lastHumanIndex + 1; i < messages.length; i++) {
+      const msg = messages[i];
+      if (msg && msg.id && msg.type === "tool" && msg.name === "ask_clarification") {
+        ids.push(msg.id);
+      }
+    }
+    return ids;
+  }, [messages]);
+
+  const [clarificationSelections, setClarificationSelections] = useState<
+    Map<string, ClarificationSelection>
+  >(new Map());
+  const [submittingClarification, setSubmittingClarification] = useState(false);
+
+  const handleClarificationSelectionChange = useCallback(
+    (id: string, next: ClarificationSelection) => {
+      setClarificationSelections((prev) => {
+        const map = new Map(prev);
+        map.set(id, next);
+        return map;
+      });
+    },
+    [],
+  );
+
+  const handleSubmitAllClarifications = useCallback(async () => {
+    if (pendingClarificationIds.length === 0 || !onClarificationSubmit) {
+      return;
+    }
+    const parts: string[] = [];
+    for (let index = 0; index < pendingClarificationIds.length; index++) {
+      const id = pendingClarificationIds[index]!;
+      const message = messages.find((msg) => msg.id === id);
+      const payload = message ? getClarificationPayload(message) : null;
+      const selection = clarificationSelections.get(id) ?? {
+        selectedIds: [],
+        custom: "",
+      };
+      const options = (payload?.options ?? []).filter(
+        (option) => typeof option.label === "string" && option.label.trim(),
+      );
+      const selectedLabels = selection.selectedIds
+        .map(
+          (sid) =>
+            options.find((option) => (option.id || option.label) === sid)?.label,
+        )
+        .filter((label): label is string => Boolean(label && label.trim()));
+      const trimmedCustom = selection.custom.trim();
+      let part = "";
+      if (selectedLabels.length > 0 && trimmedCustom) {
+        part = `我选择：${selectedLabels.join("、")}；补充：${trimmedCustom}`;
+      } else if (selectedLabels.length > 0) {
+        part = `我选择：${selectedLabels.join("、")}`;
+      } else if (trimmedCustom) {
+        part = trimmedCustom;
+      } else {
+        continue;
+      }
+      if (pendingClarificationIds.length > 1) {
+        const question = payload?.question?.trim();
+        parts.push(
+          question
+            ? `问题${index + 1}「${question}」：${part}`
+            : `问题${index + 1}：${part}`,
+        );
+      } else {
+        parts.push(part);
+      }
+    }
+    if (parts.length === 0) {
+      return;
+    }
+    const combined =
+      pendingClarificationIds.length > 1
+        ? `针对你提出的多个问题，依次回答：\n${parts.map((p) => `- ${p}`).join("\n")}`
+        : parts[0]!;
+    setSubmittingClarification(true);
+    try {
+      await onClarificationSubmit(combined);
+    } finally {
+      setSubmittingClarification(false);
+    }
+  }, [pendingClarificationIds, messages, clarificationSelections, onClarificationSubmit]);
+
+  const totalPending = pendingClarificationIds.length;
+  const hasAnyClarificationAnswer = useMemo(() => {
+    return pendingClarificationIds.some((id) => {
+      const sel = clarificationSelections.get(id);
+      return (sel?.selectedIds.length ?? 0) > 0 || (sel?.custom.trim() ?? "").length > 0;
+    });
+  }, [pendingClarificationIds, clarificationSelections]);
+
   if (thread.isThreadLoading && messages.length === 0) {
     return <MessageListSkeleton />;
   }
@@ -89,14 +194,34 @@ export function MessageList({
           } else if (group.type === "assistant:clarification") {
             const message = group.messages[0];
             if (message && hasContent(message)) {
+              const messageId = message.id ?? "";
+              const pendingIndex = pendingClarificationIds.indexOf(messageId);
+              const isPending = pendingIndex >= 0;
+              const isLastPending =
+                isPending && pendingIndex === totalPending - 1;
               return (
                 <div key={group.id} className="w-full">
                   <ClarificationCard
                     fallbackContent={extractContentFromMessage(message)}
                     isLoading={thread.isLoading}
                     message={message}
-                    onSubmit={onClarificationSubmit}
                     rehypePlugins={rehypePlugins}
+                    isPending={isPending}
+                    pendingIndex={isPending ? pendingIndex : undefined}
+                    pendingCount={isPending ? totalPending : undefined}
+                    isLastPending={isLastPending}
+                    selection={
+                      clarificationSelections.get(messageId) ?? {
+                        selectedIds: [],
+                        custom: "",
+                      }
+                    }
+                    onSelectionChange={(next) =>
+                      handleClarificationSelectionChange(messageId, next)
+                    }
+                    submitting={submittingClarification}
+                    canSubmit={hasAnyClarificationAnswer}
+                    onSubmitAll={handleSubmitAllClarifications}
                   />
                   <MessageTokenUsageList
                     enabled={tokenUsageEnabled}
@@ -289,6 +414,11 @@ type ClarificationPayload = {
   allow_custom?: boolean;
 };
 
+type ClarificationSelection = {
+  selectedIds: string[];
+  custom: string;
+};
+
 export type SetupAgentApprovalPayload = {
   name?: string;
   description?: string;
@@ -447,19 +577,32 @@ function ClarificationCard({
   fallbackContent,
   isLoading,
   message,
-  onSubmit,
   rehypePlugins,
+  isPending,
+  pendingIndex,
+  pendingCount,
+  isLastPending,
+  selection,
+  onSelectionChange,
+  submitting,
+  canSubmit,
+  onSubmitAll,
 }: {
   fallbackContent: string;
   isLoading: boolean;
   message: unknown;
-  onSubmit?: (answer: string) => void | Promise<void>;
   rehypePlugins: ReturnType<typeof useRehypeSplitWordsIntoSpans>;
+  isPending: boolean;
+  pendingIndex?: number;
+  pendingCount?: number;
+  isLastPending: boolean;
+  selection: ClarificationSelection;
+  onSelectionChange: (next: ClarificationSelection) => void;
+  submitting: boolean;
+  canSubmit: boolean;
+  onSubmitAll: () => void | Promise<void>;
 }) {
   const payload = getClarificationPayload(message);
-  const [customAnswer, setCustomAnswer] = useState("");
-  const [submitting, setSubmitting] = useState(false);
-  const [submitted, setSubmitted] = useState(false);
 
   const options = useMemo(
     () =>
@@ -479,27 +622,36 @@ function ClarificationCard({
     );
   }
 
-  const disabled = false;
+  const disabled = !isPending || submitting;
+  const multiPending = (pendingCount ?? 0) > 1;
 
-  async function submitAnswer(answer: string) {
-    const trimmed = answer.trim();
-    if (!trimmed) {
+  function toggleOption(optionId: string) {
+    if (disabled) {
       return;
     }
-    setSubmitting(true);
-    try {
-      await onSubmit?.(trimmed);
-      setSubmitted(true);
-    } finally {
-      setSubmitting(false);
+    const next = selection.selectedIds.includes(optionId)
+      ? selection.selectedIds.filter((id) => id !== optionId)
+      : [...selection.selectedIds, optionId];
+    onSelectionChange({ ...selection, selectedIds: next });
+  }
+
+  function updateCustom(value: string) {
+    if (disabled) {
+      return;
     }
+    onSelectionChange({ ...selection, custom: value });
   }
 
   return (
     <div className="border-border bg-card text-card-foreground w-full rounded-lg border p-4 shadow-sm">
       <div className="space-y-2">
-        <div className="text-muted-foreground text-xs font-medium">
-          需要你的确认
+        <div className="text-muted-foreground flex items-center gap-2 text-xs font-medium">
+          <span>需要你的确认</span>
+          {multiPending && pendingIndex !== undefined && pendingCount ? (
+            <span className="bg-muted text-muted-foreground rounded-full px-2 py-0.5 text-[10px]">
+              {pendingIndex + 1} / {pendingCount}
+            </span>
+          ) : null}
         </div>
         {payload.context ? (
           <p className="text-muted-foreground text-sm leading-6">
@@ -513,49 +665,84 @@ function ClarificationCard({
 
       {options.length > 0 ? (
         <div className="mt-4 grid gap-2">
-          {options.map((option) => (
-            <Button
-              key={option.id || option.label}
-              type="button"
-              variant="outline"
-              className="h-auto justify-start whitespace-normal px-3 py-2 text-left"
-              disabled={disabled}
-              onClick={() => void submitAnswer(`我选择：${option.label}`)}
-            >
-              <span className="flex min-w-0 flex-col items-start gap-1">
-                <span>{option.label}</span>
-                {option.description ? (
-                  <span className="text-muted-foreground text-xs font-normal leading-5">
-                    {option.description}
-                  </span>
+          <div className="text-muted-foreground text-xs">
+            可多选（再次点击取消选择）
+          </div>
+          {options.map((option) => {
+            const optionId = option.id || option.label;
+            const isSelected = selection.selectedIds.includes(optionId);
+            return (
+              <Button
+                key={optionId}
+                type="button"
+                variant={isSelected ? "default" : "outline"}
+                className="h-auto justify-start whitespace-normal px-3 py-2 text-left"
+                disabled={disabled}
+                onClick={() => toggleOption(optionId)}
+              >
+                <span className="flex min-w-0 flex-1 flex-col items-start gap-1">
+                  <span>{option.label}</span>
+                  {option.description ? (
+                    <span
+                      className={cn(
+                        "text-xs font-normal leading-5",
+                        isSelected
+                          ? "text-primary-foreground/80"
+                          : "text-muted-foreground",
+                      )}
+                    >
+                      {option.description}
+                    </span>
+                  ) : null}
+                </span>
+                {isSelected ? (
+                  <CheckIcon className="ml-2 h-4 w-4 shrink-0" />
                 ) : null}
-              </span>
-            </Button>
-          ))}
+              </Button>
+            );
+          })}
         </div>
       ) : null}
 
       {payload.allow_custom !== false ? (
         <div className="mt-4 flex flex-col gap-2">
           <Textarea
-            value={customAnswer}
-            onChange={(event) => setCustomAnswer(event.currentTarget.value)}
-            placeholder="如果以上选项都不合适，可以在这里输入你的回答"
+            value={selection.custom}
+            onChange={(event) => updateCustom(event.currentTarget.value)}
+            placeholder={
+              options.length > 0
+                ? "可选：补充说明（与所选项一起发送），或在此填写自定义回答"
+                : "如果以上选项都不合适，可以在这里输入你的回答"
+            }
             disabled={disabled}
             className="min-h-20 resize-none"
           />
-          <div className="flex justify-end">
+        </div>
+      ) : null}
+
+      {isPending ? (
+        isLastPending ? (
+          <div className="mt-3 flex items-center justify-end gap-2">
+            {multiPending ? (
+              <span className="text-muted-foreground text-xs">
+                将一起提交以上 {pendingCount} 个问题的回答
+              </span>
+            ) : null}
             <Button
               type="button"
               size="sm"
-              disabled={disabled || !customAnswer.trim()}
-              onClick={() => void submitAnswer(customAnswer)}
+              disabled={!canSubmit || submitting}
+              onClick={() => void onSubmitAll()}
             >
               <SendIcon className="h-4 w-4" />
-              发送回答
+              {submitting ? "发送中…" : multiPending ? "全部发送" : "发送回答"}
             </Button>
           </div>
-        </div>
+        ) : (
+          <div className="text-muted-foreground mt-3 text-right text-xs">
+            选择后等待最后一题统一提交
+          </div>
+        )
       ) : null}
     </div>
   );

frontend-web/src/pages/AgentChatPage.tsx

@@ -3,7 +3,7 @@
 import { BotIcon, PlusSquare } from "lucide-react";
 import { useParams, useRouter } from "next/navigation";
 import { useRouteBase } from "@/core/route-base";
-import { useCallback, useEffect, useState } from "react";
+import { useCallback, useEffect, useRef, useState } from "react";
 
 import type { PromptInputMessage } from "@/components/ai-elements/prompt-input";
 import { Button } from "@/components/ui/button";
@@ -36,13 +36,30 @@ export default function AgentChatPage() {
   const routeBase = useRouteBase();
   const { t } = useI18n();
   const [showFollowups, setShowFollowups] = useState(false);
-  const [hasStartedConversation, setHasStartedConversation] = useState(false);
   const router = useRouter();
 
   const { agent_id } = useParams<{
     agent_id: string;
   }>();
 
+  // If ChatPage stashed an opening message for this agent, skip the landing
+  // screen on first render so the user doesn't see a flash of the welcome UI
+  // before the auto-sent message takes over.
+  const hasPendingForThisAgent = () => {
+    if (typeof window === "undefined" || !agent_id) return false;
+    try {
+      const raw = sessionStorage.getItem("pendingAgentMessage");
+      if (!raw) return false;
+      const parsed = JSON.parse(raw);
+      return parsed?.agentId === agent_id && !!parsed?.text;
+    } catch {
+      return false;
+    }
+  };
+  const [hasStartedConversation, setHasStartedConversation] = useState(
+    hasPendingForThisAgent,
+  );
+
   const { agent } = useAgent(agent_id);
 
   const { threadId, setThreadId, isNewThread, setIsNewThread } =
@@ -52,9 +69,10 @@ export default function AgentChatPage() {
 
   useEffect(() => {
     if (isNewThread) {
-      setHasStartedConversation(false);
+      setHasStartedConversation(hasPendingForThisAgent());
     }
-  }, [isNewThread, threadId]);
+    // eslint-disable-next-line react-hooks/exhaustive-deps
+  }, [isNewThread, threadId, agent_id]);
 
   const { showNotification } = useNotification();
   const [thread, sendMessage] = useThreadStream({
@@ -100,6 +118,26 @@ export default function AgentChatPage() {
     [sendMessage, threadId, agent_id],
   );
 
+  // ChatPage stashes the opening message in sessionStorage when the user picks
+  // an agent on the landing screen, then redirects here. Replay it once so the
+  // user doesn't have to re-type the question on the agent chat page.
+  const pendingMessageHandled = useRef(false);
+  useEffect(() => {
+    if (pendingMessageHandled.current) return;
+    if (!agent_id || !isNewThread || hasStartedConversation) return;
+    let pending: { agentId?: string; text?: string } | null = null;
+    try {
+      const raw = sessionStorage.getItem("pendingAgentMessage");
+      if (raw) pending = JSON.parse(raw);
+    } catch {
+      pending = null;
+    }
+    if (!pending || pending.agentId !== agent_id || !pending.text) return;
+    pendingMessageHandled.current = true;
+    sessionStorage.removeItem("pendingAgentMessage");
+    handleSubmit({ text: pending.text, files: [] });
+  }, [agent_id, isNewThread, hasStartedConversation, handleSubmit]);
+
   const handleClarificationSubmit = useCallback(
     (answer: string) => {
       setHasStartedConversation(true);
@@ -180,8 +218,8 @@ export default function AgentChatPage() {
                   "relative w-full",
                   isLandingState && "-translate-y-[calc(50vh-96px)]",
                   isLandingState
-                    ? "max-w-(--container-width-sm)"
-                    : "max-w-(--container-width-md)",
+                    ? "max-w-(--container-width-md)"
+                    : "max-w-(--container-width-lg)",
                 )}
               >
                 <div className="absolute -top-4 right-0 left-0 z-0">

frontend-web/src/pages/ScheduledTasksPage.tsx

@@ -758,11 +758,11 @@ export default function ScheduledTasksPage() {
       </Dialog>
 
       <Dialog open={creating || !!editing} onOpenChange={(open) => !open && closeDialog()}>
-        <DialogContent className="max-w-2xl">
-          <DialogHeader>
+        <DialogContent className="max-w-2xl overflow-hidden">
+          <DialogHeader className="min-w-0">
             <DialogTitle>{creating ? "新建定时任务" : "编辑定时任务"}</DialogTitle>
           </DialogHeader>
-          <div className="flex flex-col gap-3">
+          <div className="flex min-w-0 flex-col gap-3">
             <Input
               value={form.name}
               onChange={(event) =>
@@ -798,15 +798,20 @@ export default function ScheduledTasksPage() {
                 }))
               }
             >
-              <SelectTrigger>
+              <SelectTrigger className="w-full min-w-0 max-w-full overflow-hidden [&>span]:min-w-0 [&>span]:flex-1 [&>span]:truncate">
                 <SelectValue placeholder="选择执行智能体" />
               </SelectTrigger>
-              <SelectContent>
+              <SelectContent
+                position="popper"
+                className="w-[var(--radix-select-trigger-width)] max-w-[var(--radix-select-trigger-width)]"
+              >
                 <SelectItem value="__default__">默认助手（不指定）</SelectItem>
                 {agents.map((agent) => (
                   <SelectItem key={agent.id} value={agent.id}>
-                    {agent.name}
-                    {agent.description ? ` — ${agent.description}` : ""}
+                    <span className="block truncate">
+                      {agent.name}
+                      {agent.description ? ` — ${agent.description}` : ""}
+                    </span>
                   </SelectItem>
                 ))}
               </SelectContent>

offline-backend-20260512/backend/packages/harness/deerflow/agents/lead_agent/prompt.py

@@ -464,11 +464,22 @@ You are {agent_name}, an internal super agent.
 - ❌ DO NOT skip clarification for "efficiency" - accuracy matters more than speed
 - ❌ DO NOT make assumptions when information is missing - ALWAYS ask
 - ❌ DO NOT proceed with guesses - STOP and call ask_clarification first
+- ❌ DO NOT cram several unrelated questions into one `question` string — split them into separate tool calls
 - ✅ Analyze the request in thinking → Identify unclear aspects → Ask BEFORE any action
 - ✅ If you identify the need for clarification in your thinking, you MUST call the tool IMMEDIATELY
 - ✅ After calling ask_clarification, execution will be interrupted automatically
 - ✅ Wait for user response - do NOT continue with assumptions
 
+**Batching multiple independent questions:**
+- When the request leaves **several independent aspects** unclear (e.g. project type AND tech stack
+  AND deployment target), call `ask_clarification` multiple times in the same turn — one call per
+  aspect, each with its own focused `question` and `options`.
+- The frontend groups all clarification cards from one turn into a single submission, so the user
+  answers them together in one reply. You will then receive ONE combined user message addressing
+  every question in order — read it carefully and match answers back to the questions you asked.
+- If the next question only makes sense after the previous answer (sequential dependency), ask
+  only the first one this turn and wait for the reply before asking the next.
+
 **How to Use:**
 ```python
 ask_clarification(

offline-backend-20260512/backend/packages/harness/deerflow/agents/middlewares/llm_error_handling_middleware.py

@@ -171,21 +171,21 @@ class LLMErrorHandlingMiddleware(AgentMiddleware[AgentState]):
 
     def _build_retry_message(self, attempt: int, wait_ms: int, reason: str) -> str:
         seconds = max(1, round(wait_ms / 1000))
-        reason_text = "provider is busy" if reason == "busy" else "provider request failed temporarily"
-        return f"LLM request retry {attempt}/{self.retry_max_attempts}: {reason_text}. Retrying in {seconds}s."
+        reason_text = "服务繁忙" if reason == "busy" else "网络/连接异常"
+        return f"大模型因{reason_text}调用失败，正在第 {attempt}/{self.retry_max_attempts} 次重试，{seconds} 秒后继续…"
 
     def _build_circuit_breaker_message(self) -> str:
-        return "The configured LLM provider is currently unavailable due to continuous failures. Circuit breaker is engaged to protect the system. Please wait a moment before trying again."
+        return "大模型因连续多次调用失败已被熔断保护，请稍候再试。"
 
     def _build_user_message(self, exc: BaseException, reason: str) -> str:
         detail = _extract_error_detail(exc)
         if reason == "quota":
-            return "The configured LLM provider rejected the request because the account is out of quota, billing is unavailable, or usage is restricted. Please fix the provider account and try again."
+            return "大模型因账户额度不足、账单异常或使用受限而拒绝请求，请检查模型账户后再试。"
         if reason == "auth":
-            return "The configured LLM provider rejected the request because authentication or access is invalid. Please check the provider credentials and try again."
+            return "大模型因鉴权失败或无访问权限而拒绝请求,请检查模型的 API Key 与权限配置后再试。"
         if reason in {"busy", "transient"}:
-            return "The configured LLM provider is temporarily unavailable after multiple retries. Please wait a moment and continue the conversation."
-        return f"LLM request failed: {detail}"
+            return "大模型因服务繁忙或网络异常，多次重试后仍未恢复,请稍候再继续。"
+        return f"大模型因「{detail}」原因调用失败。"
 
     def _emit_retry_event(self, attempt: int, wait_ms: int, reason: str) -> None:
         try:

offline-backend-20260512/backend/packages/harness/deerflow/runtime/scheduler/service.py

@@ -713,7 +713,7 @@ class ScheduledTaskService:
         retry_count: int = 0,
     ) -> None:
         """Mark a run failed and reflect the outcome on the parent task."""
-        result = _build_result(task, scheduled_for=scheduled_for, content=f"Scheduled task failed: {error}")
+        result = _build_result(task, scheduled_for=scheduled_for, content=f"定时任务执行失败：{error}")
         await self.store.update_run(
             run_id,
             {"status": "failed", "finished_at": datetime.now(UTC), "error": error, "result": result, "retry_count": retry_count},

offline-backend-20260512/backend/packages/harness/deerflow/tools/builtins/clarification_tool.py

@@ -36,18 +36,31 @@ def ask_clarification_tool(
     - You're about to perform a potentially dangerous operation
     - You have a recommendation but need user approval
 
+    Batching multiple independent questions:
+    - **You CAN and SHOULD call ask_clarification multiple times in the same turn** when the user's
+      request leaves several **independent** aspects unclear (e.g. project type AND tech stack AND
+      deployment target). Emit one tool call per aspect — do NOT cram several unrelated questions
+      into one `question` string.
+    - The frontend automatically groups all clarification cards in one turn into a single submission,
+      so the user answers them together in one reply. You will then receive one combined user message
+      addressing every question in order.
+    - When the questions DEPEND on each other (the second only makes sense after the first is answered),
+      ask only the first one and wait for the reply before asking the next.
+
     Best practices:
-    - Ask ONE clarification at a time for clarity
-    - Be specific and clear in your question
-    - Don't make assumptions when clarification is needed
-    - For risky operations, ALWAYS ask for confirmation
-    - After calling this tool, execution will be interrupted automatically
+    - One question per ask_clarification call — keep each `question` focused on a single decision.
+    - Be specific and clear in your question.
+    - Provide `options` (with concise labels) whenever there is a discrete set of reasonable choices —
+      this lets the user multi-select in the UI instead of typing free text.
+    - Don't make assumptions when clarification is needed.
+    - For risky operations, ALWAYS ask for confirmation.
+    - After calling this tool (or several in one turn), execution will be interrupted automatically.
 
     Args:
-        question: The clarification question to ask the user. Be specific and clear.
+        question: The clarification question to ask the user. Focused on a single decision; be specific and clear.
         clarification_type: The type of clarification needed (missing_info, ambiguous_requirement, approach_choice, risk_confirmation, suggestion).
         context: Optional context explaining why clarification is needed. Helps the user understand the situation.
-        options: Optional list of choices (for approach_choice or suggestion types). Present clear options for the user to choose from.
+        options: Optional list of choices (for approach_choice or suggestion types). Present clear options for the user to choose from; the UI supports multi-select.
     """
     # This is a placeholder implementation
     # The actual logic is handled by ClarificationMiddleware which intercepts this tool call