重新整理提示词和工具说明。

.opencode/tools/fetch_result_ref.ts

@@ -1,49 +0,0 @@
-import { tool } from "@opencode-ai/plugin";
-import { ToolSessionContextStore } from "../../src/session/toolContextStore.js";
-
-const internalBaseUrl = process.env.TJWATER_AGENT_INTERNAL_BASE_URL ?? "http://127.0.0.1:8787";
-const internalToken = process.env.TJWATER_AGENT_INTERNAL_TOKEN ?? "";
-const toolContextStore = new ToolSessionContextStore();
-const initializePromise = toolContextStore.initialize();
-
-export default tool({
-  description:
-    "回读持久化 result_ref。适用于大结果只返回 preview 时，按需读取完整或截断后的数据。仅用于仍使用 referenced 模式的遗留接口。",
-  args: {
-    reason: tool.schema
-      .string()
-      .describe("Why the stored result needs to be read for the current user request."),
-    result_ref: tool.schema.string().describe("The result_ref handle."),
-    max_items: tool.schema
-      .number()
-      .int()
-      .positive()
-      .optional()
-      .describe("Optional maximum number of top-level items or fields to return."),
-  },
-  async execute(args, context) {
-    await initializePromise;
-    const sessionContext = await toolContextStore.read(context.sessionID);
-    if (!sessionContext) {
-      throw new Error(`session context not found for ${context.sessionID}`);
-    }
-    const response = await fetch(`${internalBaseUrl}/internal/tools/fetch-result-ref`, {
-      method: "POST",
-      headers: {
-        "Content-Type": "application/json",
-        "x-agent-internal-token": internalToken,
-      },
-      body: JSON.stringify({
-        sessionScopeKey: sessionContext.sessionScopeKey,
-        result_ref: args.result_ref,
-        max_items: args.max_items,
-      }),
-    });
-
-    const text = await response.text();
-    if (!response.ok) {
-      throw new Error(text);
-    }
-    return text;
-  },
-});

.opencode/tools/render_junctions.ts

@@ -10,7 +10,7 @@ export default tool({
     render_ref: tool.schema
       .string()
       .describe(
-        "渲染引用 ID。必须是持久化结果引用（res-...）。前端会按该引用读取完整 payload.data 并渲染，不需要先用 fetch_result_ref 提取完整数据。render_ref 对应的数据结构必须是 { node_area_map: { [junctionId]: areaId }, area_ids?: string[], area_colors?: { [areaId]: color } }；node_area_map 必填，area_ids / area_colors 可选。",
+        "渲染引用 ID。必须是持久化结果引用（res-...）。前端会按该引用读取完整 payload.data 并渲染。render_ref 对应的数据结构必须是 { node_area_map: { [junctionId]: areaId }, area_ids?: string[], area_colors?: { [areaId]: color } }；node_area_map 必填，area_ids / area_colors 可选。",
       ),
   },
   async execute() {

.opencode/tools/skill_manager.ts

@@ -30,7 +30,7 @@ export default tool({
     skill_path: tool.schema
       .string()
       .describe(
-        "Target skill directory path relative to .opencode/skills, for example analytics/simulation-analysis/leakage or platform/governance-observability/meta.",
+        "Target skill directory path relative to .opencode/skills.",
       ),
     pattern: tool.schema
       .string()

.opencode/tools/tjwater_cli.ts

@@ -8,7 +8,7 @@ const initializePromise = toolContextStore.initialize();
 
 export default tool({
   description:
-    "通过本地 Agent 桥接调用 tjwater-cli 命令访问 TJWater 后端。提供 CLI 子命令和参数。",
+    "通过本地 Agent 桥接调用 tjwater-cli 命令访问 TJWater 后端服务。提供 CLI 子命令和参数。",
   args: {
     reason: tool.schema
       .string()
@@ -21,7 +21,7 @@ export default tool({
     timeout: tool.schema
       .number()
       .optional()
-      .describe("超时秒数，默认 120。大结果集建议设 300+。"),
+      .describe("超时秒数，默认 60。大结果集建议设 120。"),
   },
   async execute(args, context) {
     await initializePromise;