feat(coordinator): 添加团队节点默认最大工具迭代次数配置

添加 DEFAULT_TEAM_NODE_MAX_TOOL_ITERATIONS 配置项以控制团队节点的最大工具迭代次数，
并修改 LocalAgentRunner 中的逻辑来使用此默认值当 envelope 中未指定时。

fix(runtime): 修复团队节点运行成功判断逻辑

更新运行成功判断条件，将 finish_reason 为 "max_tool_iterations_finalized" 的情况
视为运行失败，并添加对原始工具调用输出的检测，避免将其误判为成功完成。

feat(mcp): 添加团队工作流MCP工具类别支持

增加新的本地MCP工具类别 "team_workflow" 及其对应的工具创建功能，
为团队工作流提供本地工具支持。

refactor(engine): 调整AgentLoop最大工具迭代次数设置

将 AgentProfile 中的默认 max_tool_iterations 从 30 增加到 100，
同时移除 TaskExecutionPlanner 构造函数中的重复参数传递。

perf(mcp): 优化MCP连接管理避免重复连接

添加 mcp_connected 标志来跟踪MCP连接状态，确保 connect_all 只执行一次，
提高性能并避免不必要的重复连接。

refactor(skills): 移除技能团队模板相关功能

移除与技能团队模板相关的代码，包括解析、存储和处理逻辑，
简化技能记录结构和加载流程。

feat(process): 增强会话过程投影器功能

添加技能激活快照事件处理，改进团队运行完成消息显示，
并增强技能激活事件的时间戳记录功能。

refactor(tasks): 简化任务尝试编排器团队执行逻辑

移除团队执行相关代码，将所有任务统一按单步执行处理，
简化任务编排器的复杂度并提升执行效率。

fix(evidence): 修复节点证据评估中需求验证逻辑

更新节点证据评估逻辑，跳过自然语言证据需求的确定性验证，
只执行机器可读的需求验证，避免因自然语言需求导致的节点失败。

app-instance/backend/beaver/engine/context/builder.py

@@ -48,8 +48,6 @@ class SkillContext:
     content_hash: str = ""
     activation_reason: str = "selected"
     tool_hints: list[str] = field(default_factory=list)
-    team_template: dict[str, Any] | None = None
-    team_template_warnings: list[str] = field(default_factory=list)
 
 
 @dataclass(slots=True)

app-instance/backend/beaver/engine/loader.py

@@ -106,6 +106,7 @@ class EngineLoadResult:
     task_execution_planner: TaskExecutionPlanner | None = None
     mcp_manager: MCPConnectionManager | None = None
     mcp_report: dict[str, dict] = field(default_factory=dict)
+    mcp_connected: bool = False
     closeables: list[tuple[str, Callable[[], None]]] = field(default_factory=list, repr=False)
     closed: bool = False
 
@@ -317,10 +318,7 @@ class EngineLoader:
             draft_service=draft_service,
         )
         task_service = self._task_service or TaskService(workspace / "tasks")
-        task_execution_planner = self._task_execution_planner or TaskExecutionPlanner(
-            task_skill_resolver=task_skill_resolver,
-            tool_registry=tool_registry,
-        )
+        task_execution_planner = self._task_execution_planner or TaskExecutionPlanner()
         mcp_manager = MCPConnectionManager(
             self.config.tools.mcp_servers,
             authz_config=self.config.authz,

app-instance/backend/beaver/engine/loop.py

@@ -53,7 +53,7 @@ class AgentProfile:
     max_tokens: int | None = None
     max_context_messages: int = 1000
     temperature: float = 0.2
-    max_tool_iterations: int = 30
+    max_tool_iterations: int = 100
 
 
 @dataclass(slots=True)
@@ -99,8 +99,8 @@ class _WebSearchLoopGuard:
             return None
 
         query = str(payload.get("query") or self._last_query or "").strip()
-        is_low_quality = payload.get("success") is False or payload.get("quality") == "low"
-        if not is_low_quality:
+        is_failed_search = payload.get("success") is False
+        if not is_failed_search:
             self._reset()
             self._last_query = query
             return None
@@ -435,7 +435,9 @@ class AgentLoop:
         if include_tools and mcp_manager is not None:
             started_at = perf_counter()
             try:
-                loaded.mcp_report = await mcp_manager.connect_all(tool_registry)
+                if not loaded.mcp_connected:
+                    loaded.mcp_report = await mcp_manager.connect_all(tool_registry)
+                    loaded.mcp_connected = True
                 loaded.tools = [spec.name for spec in tool_registry.list_specs()]
             finally:
                 add_latency("mcp_ms", started_at)
@@ -752,6 +754,11 @@ class AgentLoop:
                     "memory_store": memory_service.get_store(),
                     "tool_registry": tool_registry,
                     "skills_loader": skills_loader,
+                    "loaded": loaded,
+                    "agent_loop": self,
+                    "provider_bundle": bundle,
+                    "user_message": task,
+                    "attempt_index": attempt_index,
                     "draft_service": getattr(loaded, "draft_service", None),
                     "beaver_config": loaded.config,
                     "task_id": task_id,
@@ -764,6 +771,7 @@ class AgentLoop:
                     "session_id": resolved_session_id,
                     "task_id": task_id,
                     "run_id": resolved_run_id,
+                    "parent_session_id": parent_session_id,
                     "allowed_tool_names": (
                         None if allowed_tool_names is None else list(allowed_tool_names)
                     ),