fmt: cargo fmt

worker-macros/src/lib.rs

@@ -6,7 +6,7 @@
 use proc_macro::TokenStream;
 use quote::{format_ident, quote};
 use syn::{
-    parse_macro_input, Attribute, FnArg, ImplItem, ItemImpl, Lit, Meta, Pat, ReturnType, Type,
+    Attribute, FnArg, ImplItem, ItemImpl, Lit, Meta, Pat, ReturnType, Type, parse_macro_input,
 };
 
 /// `impl` ブロックに付与し、内部の `#[tool]` 属性がついたメソッドからツールを生成するマクロ。

worker-types/src/hook.rs

@@ -127,7 +127,10 @@ pub trait WorkerHook: Send + Sync {
     /// ツール実行後
     ///
     /// 結果を書き換えたり、隠蔽したりできる。
-    async fn after_tool_call(&self, _tool_result: &mut ToolResult) -> Result<ControlFlow, HookError> {
+    async fn after_tool_call(
+        &self,
+        _tool_result: &mut ToolResult,
+    ) -> Result<ControlFlow, HookError> {
         Ok(ControlFlow::Continue)
     }
 

worker-types/src/message.rs

@@ -54,7 +54,10 @@ pub enum ContentPart {
     },
     /// ツール結果
     #[serde(rename = "tool_result")]
-    ToolResult { tool_use_id: String, content: String },
+    ToolResult {
+        tool_use_id: String,
+        content: String,
+    },
 }
 
 impl Message {

worker-types/src/subscriber.rs

@@ -3,9 +3,7 @@
 //! Timeline層のHandler機構の薄いラッパーとして設計され、
 //! UIへのストリーミング表示やリアルタイムフィードバックを可能にする。
 
-use crate::{
+use crate::{ErrorEvent, StatusEvent, TextBlockEvent, ToolCall, ToolUseBlockEvent, UsageEvent};
-    ErrorEvent, StatusEvent, TextBlockEvent, ToolCall, ToolUseBlockEvent, UsageEvent,
-};
 
 // =============================================================================
 // WorkerSubscriber Trait
@@ -74,7 +72,11 @@ pub trait WorkerSubscriber: Send {
     ///
     /// Start/InputJsonDelta/Stopのライフサイクルを持つ。
     #[allow(unused_variables)]
-    fn on_tool_use_block(&mut self, scope: &mut Self::ToolUseBlockScope, event: &ToolUseBlockEvent) {
+    fn on_tool_use_block(
+        &mut self,
+        scope: &mut Self::ToolUseBlockScope,
+        event: &ToolUseBlockEvent,
+    ) {
     }
 
     // =========================================================================

worker/examples/llm_client_gemini.rs

@@ -111,8 +111,8 @@ impl Handler<UsageKind> for UsageTracker {
 #[tokio::main]
 async fn main() -> Result<(), Box<dyn std::error::Error>> {
     // APIキーを環境変数から取得
-    let api_key = std::env::var("GEMINI_API_KEY")
+    let api_key =
-        .expect("GEMINI_API_KEY environment variable must be set");
+        std::env::var("GEMINI_API_KEY").expect("GEMINI_API_KEY environment variable must be set");
 
     println!("=== Gemini LLM Client + Timeline Integration Example ===\n");
 

worker/examples/record_test_fixtures/main.rs

@@ -16,9 +16,6 @@
 //! ANTHROPIC_API_KEY=your-key cargo run --example record_test_fixtures -- --all
 //! ```
 
-
-
-
 mod recorder;
 mod scenarios;
 
@@ -82,7 +79,8 @@ async fn run_scenario_with_openai(
     subdir: &str,
     model: Option<String>,
 ) -> Result<(), Box<dyn std::error::Error>> {
-    let api_key = std::env::var("OPENAI_API_KEY").expect("OPENAI_API_KEY environment variable must be set");
+    let api_key =
+        std::env::var("OPENAI_API_KEY").expect("OPENAI_API_KEY environment variable must be set");
     let model = model.as_deref().unwrap_or("gpt-4o");
     let client = OpenAIClient::new(&api_key, model);
 
@@ -125,8 +123,8 @@ async fn run_scenario_with_gemini(
     subdir: &str,
     model: Option<String>,
 ) -> Result<(), Box<dyn std::error::Error>> {
-    let api_key = std::env::var("GEMINI_API_KEY")
+    let api_key =
-        .expect("GEMINI_API_KEY environment variable must be set");
+        std::env::var("GEMINI_API_KEY").expect("GEMINI_API_KEY environment variable must be set");
     let model = model.as_deref().unwrap_or("gemini-2.0-flash");
     let client = GeminiClient::new(&api_key, model);
 
@@ -142,9 +140,6 @@ async fn run_scenario_with_gemini(
     Ok(())
 }
 
-
-
-
 #[tokio::main]
 async fn main() -> Result<(), Box<dyn std::error::Error>> {
     dotenv::dotenv().ok();
@@ -202,10 +197,18 @@ async fn main() -> Result<(), Box<dyn std::error::Error>> {
     // ここでは単純なループで実行
     for scenario in scenarios_to_run {
         match args.client {
-             ClientType::Anthropic => run_scenario_with_anthropic(&scenario, subdir, args.model.clone()).await?,
+            ClientType::Anthropic => {
-             ClientType::Gemini => run_scenario_with_gemini(&scenario, subdir, args.model.clone()).await?,
+                run_scenario_with_anthropic(&scenario, subdir, args.model.clone()).await?
-             ClientType::Openai => run_scenario_with_openai(&scenario, subdir, args.model.clone()).await?,
+            }
-             ClientType::Ollama => run_scenario_with_ollama(&scenario, subdir, args.model.clone()).await?,
+            ClientType::Gemini => {
+                run_scenario_with_gemini(&scenario, subdir, args.model.clone()).await?
+            }
+            ClientType::Openai => {
+                run_scenario_with_openai(&scenario, subdir, args.model.clone()).await?
+            }
+            ClientType::Ollama => {
+                run_scenario_with_ollama(&scenario, subdir, args.model.clone()).await?
+            }
         }
     }
 

worker/examples/worker_cli.rs

@@ -38,14 +38,14 @@ use tracing_subscriber::EnvFilter;
 
 use clap::{Parser, ValueEnum};
 use worker::{
+    Handler, TextBlockEvent, TextBlockKind, ToolUseBlockEvent, ToolUseBlockKind, Worker,
     llm_client::{
+        LlmClient,
         providers::{
             anthropic::AnthropicClient, gemini::GeminiClient, ollama::OllamaClient,
             openai::OpenAIClient,
         },
-        LlmClient,
     },
-    Handler, TextBlockEvent, TextBlockKind, ToolUseBlockEvent, ToolUseBlockKind, Worker,
 };
 use worker_macros::tool_registry;
 use worker_types::Message;
@@ -310,8 +310,7 @@ async fn main() -> Result<(), Box<dyn std::error::Error>> {
     // ロギング初期化
     // RUST_LOG=debug cargo run --example worker_cli ... で詳細ログ表示
     // デフォルトは warn レベル、RUST_LOG 環境変数で上書き可能
-    let filter = EnvFilter::try_from_default_env()
+    let filter = EnvFilter::try_from_default_env().unwrap_or_else(|_| EnvFilter::new("warn"));
-        .unwrap_or_else(|_| EnvFilter::new("warn"));
 
     tracing_subscriber::fmt()
         .with_env_filter(filter)

worker/src/llm_client/providers/anthropic.rs

@@ -6,7 +6,7 @@ use std::pin::Pin;
 
 use async_trait::async_trait;
 use eventsource_stream::Eventsource;
-use futures::{future::ready, Stream, StreamExt, TryStreamExt};
+use futures::{Stream, StreamExt, TryStreamExt, future::ready};
 use reqwest::header::{CONTENT_TYPE, HeaderMap, HeaderValue};
 use worker_types::Event;
 
@@ -178,7 +178,6 @@ impl LlmClient for AnthropicClient {
     }
 }
 
-
 #[cfg(test)]
 mod tests {
     use super::*;

worker/src/llm_client/providers/ollama.rs

@@ -10,9 +10,7 @@ use futures::Stream;
 use worker_types::Event;
 
 use crate::llm_client::{
-    ClientError, LlmClient, Request, 
+    ClientError, LlmClient, Request, providers::openai::OpenAIClient, scheme::openai::OpenAIScheme,
-    providers::openai::OpenAIClient,
-    scheme::openai::OpenAIScheme,
 };
 
 /// Ollama クライアント

worker/src/llm_client/providers/openai.rs

@@ -159,7 +159,8 @@ impl LlmClient for OpenAIClient {
             .map_err(|e| std::io::Error::other(e));
         let event_stream = byte_stream.eventsource();
 
-        let stream = event_stream.map(move |result| {
+        let stream = event_stream
+            .map(move |result| {
                 match result {
                     Ok(event) => {
                         // SSEイベントをパース

worker/src/llm_client/scheme/gemini/events.rs

@@ -127,12 +127,11 @@ impl GeminiScheme {
             return Ok(None);
         }
 
-        let response: GenerateContentResponse = serde_json::from_str(data).map_err(|e| {
+        let response: GenerateContentResponse =
-            ClientError::Api {
+            serde_json::from_str(data).map_err(|e| ClientError::Api {
                 status: None,
                 code: Some("parse_error".to_string()),
                 message: format!("Failed to parse Gemini SSE data: {} -> {}", e, data),
-            }
             })?;
 
         let mut events = Vec::new();
@@ -155,10 +154,7 @@ impl GeminiScheme {
                                 if !text.is_empty() {
                                     // Geminiは明示的なBlockStartを送らないため、
                                     // TextDeltaを直接送る（Timelineが暗黙的に開始を処理）
-                                    events.push(Event::text_delta(
+                                    events.push(Event::text_delta(part_index, text.clone()));
-                                        part_index,
-                                        text.clone(),
-                                    ));
                                 }
                             }
 
@@ -240,7 +236,8 @@ mod tests {
     #[test]
     fn test_parse_text_response() {
         let scheme = GeminiScheme::new();
-        let data = r#"{"candidates":[{"content":{"parts":[{"text":"Hello"}],"role":"model"},"index":0}]}"#;
+        let data =
+            r#"{"candidates":[{"content":{"parts":[{"text":"Hello"}],"role":"model"},"index":0}]}"#;
 
         let events = scheme.parse_event(data).unwrap().unwrap();
         assert_eq!(events.len(), 1);

worker/src/llm_client/scheme/gemini/request.rs

@@ -46,9 +46,7 @@ pub(crate) struct GeminiContent {
 #[serde(untagged)]
 pub(crate) enum GeminiPart {
     /// テキストパーツ
-    Text {
+    Text { text: String },
-        text: String,
-    },
     /// 関数呼び出しパーツ
     FunctionCall {
         #[serde(rename = "functionCall")]
@@ -160,11 +158,7 @@ impl GeminiScheme {
             vec![]
         } else {
             vec![GeminiTool {
-                function_declarations: request
+                function_declarations: request.tools.iter().map(|t| self.convert_tool(t)).collect(),
-                    .tools
-                    .iter()
-                    .map(|t| self.convert_tool(t))
-                    .collect(),
             }]
         };
 
@@ -224,19 +218,16 @@ impl GeminiScheme {
                     },
                 }]
             }
-            MessageContent::Parts(parts) => {
+            MessageContent::Parts(parts) => parts
-                parts
                 .iter()
                 .map(|p| match p {
                     ContentPart::Text { text } => GeminiPart::Text { text: text.clone() },
-                        ContentPart::ToolUse { id: _, name, input } => {
+                    ContentPart::ToolUse { id: _, name, input } => GeminiPart::FunctionCall {
-                            GeminiPart::FunctionCall {
                         function_call: GeminiFunctionCall {
                             name: name.clone(),
                             args: input.clone(),
                         },
-                            }
+                    },
-                        }
                     ContentPart::ToolResult {
                         tool_use_id,
                         content,
@@ -250,8 +241,7 @@ impl GeminiScheme {
                         },
                     },
                 })
-                    .collect()
+                .collect(),
-            }
         };
 
         GeminiContent {
@@ -306,16 +296,17 @@ mod tests {
 
         assert_eq!(gemini_req.tools.len(), 1);
         assert_eq!(gemini_req.tools[0].function_declarations.len(), 1);
-        assert_eq!(gemini_req.tools[0].function_declarations[0].name, "get_weather");
+        assert_eq!(
+            gemini_req.tools[0].function_declarations[0].name,
+            "get_weather"
+        );
         assert!(gemini_req.tool_config.is_some());
     }
 
     #[test]
     fn test_assistant_role_is_model() {
         let scheme = GeminiScheme::new();
-        let request = Request::new()
+        let request = Request::new().user("Hello").assistant("Hi there!");
-            .user("Hello")
-            .assistant("Hi there!");
 
         let gemini_req = scheme.build_request(&request);
 

worker/src/llm_client/scheme/openai/events.rs

@@ -69,8 +69,8 @@ impl OpenAIScheme {
             return Ok(None);
         }
 
-        let chunk: ChatCompletionChunk = serde_json::from_str(data)
+        let chunk: ChatCompletionChunk =
-            .map_err(|e| ClientError::Api {
+            serde_json::from_str(data).map_err(|e| ClientError::Api {
                 status: None,
                 code: Some("parse_error".to_string()),
                 message: format!("Failed to parse SSE data: {} -> {}", e, data),
@@ -102,7 +102,11 @@ impl OpenAIScheme {
                 for tool_call in tool_calls {
                     // Start of tool call (has ID)
                     if let Some(id) = tool_call.id {
-                        let name = tool_call.function.as_ref().and_then(|f| f.name.clone()).unwrap_or_default();
+                        let name = tool_call
+                            .function
+                            .as_ref()
+                            .and_then(|f| f.name.clone())
+                            .unwrap_or_default();
                         events.push(Event::tool_use_start(tool_call.index, id, name));
                     }
 
@@ -126,7 +130,8 @@ impl OpenAIScheme {
                     _ => Some(StopReason::EndTurn),
                 };
 
-                let is_tool_finish = finish_reason == "tool_calls" || finish_reason == "function_call";
+                let is_tool_finish =
+                    finish_reason == "tool_calls" || finish_reason == "function_call";
 
                 if is_tool_finish {
                     // ツール呼び出し終了

worker/src/llm_client/scheme/openai/request.rs

@@ -120,12 +120,7 @@ impl OpenAIScheme {
             });
         }
 
-        messages.extend(
+        messages.extend(request.messages.iter().map(|m| self.convert_message(m)));
-            request
-                .messages
-                .iter()
-                .map(|m| self.convert_message(m))
-        );
 
         let tools = request.tools.iter().map(|t| self.convert_tool(t)).collect();
 
@@ -143,7 +138,9 @@ impl OpenAIScheme {
             top_p: request.config.top_p,
             stop: request.config.stop_sequences.clone(),
             stream: true,
-            stream_options: Some(StreamOptions { include_usage: true }),
+            stream_options: Some(StreamOptions {
+                include_usage: true,
+            }),
             messages,
             tools,
             tool_choice: None, // Default to auto if tools are present? Or let API decide (which is auto)
@@ -265,13 +262,10 @@ impl OpenAIScheme {
 mod tests {
     use super::*;
 
-
     #[test]
     fn test_build_simple_request() {
         let scheme = OpenAIScheme::new();
-        let request = Request::new()
+        let request = Request::new().system("System prompt").user("Hello");
-            .system("System prompt")
-            .user("Hello");
 
         let body = scheme.build_request("gpt-4o", &request);
 
@@ -303,9 +297,7 @@ mod tests {
     #[test]
     fn test_build_request_legacy_max_tokens() {
         let scheme = OpenAIScheme::new().with_legacy_max_tokens(true);
-        let request = Request::new()
+        let request = Request::new().user("Hello").max_tokens(100);
-            .user("Hello")
-            .max_tokens(100);
 
         let body = scheme.build_request("llama3", &request);
 
@@ -317,9 +309,7 @@ mod tests {
     #[test]
     fn test_build_request_modern_max_tokens() {
         let scheme = OpenAIScheme::new(); // Default matches modern (legacy=false)
-        let request = Request::new()
+        let request = Request::new().user("Hello").max_tokens(100);
-            .user("Hello")
-            .max_tokens(100);
 
         let body = scheme.build_request("gpt-4o", &request);
 

worker/src/worker.rs

@@ -4,6 +4,7 @@ use std::sync::{Arc, Mutex};
 use futures::StreamExt;
 use tracing::{debug, info, trace, warn};
 
+use crate::Timeline;
 use crate::llm_client::{ClientError, LlmClient, Request, ToolDefinition};
 use crate::subscriber_adapter::{
     ErrorSubscriberAdapter, StatusSubscriberAdapter, TextBlockSubscriberAdapter,
@@ -11,7 +12,6 @@ use crate::subscriber_adapter::{
 };
 use crate::text_block_collector::TextBlockCollector;
 use crate::tool_call_collector::ToolCallCollector;
-use crate::Timeline;
 use worker_types::{
     ContentPart, ControlFlow, HookError, Message, MessageContent, Tool, ToolCall, ToolError,
     ToolResult, TurnResult, WorkerHook, WorkerSubscriber,
@@ -442,10 +442,7 @@ impl<C: LlmClient> Worker<C> {
     }
 
     /// Hooks: on_turn_end
-    async fn run_on_turn_end_hooks(
+    async fn run_on_turn_end_hooks(&self, messages: &[Message]) -> Result<TurnResult, WorkerError> {
-        &self,
-        messages: &[Message],
-    ) -> Result<TurnResult, WorkerError> {
         for hook in &self.hooks {
             let result = hook.on_turn_end(messages).await?;
             match result {

worker/tests/common/mod.rs

@@ -3,13 +3,13 @@
 use std::fs::File;
 use std::io::{BufRead, BufReader};
 use std::path::{Path, PathBuf};
-use std::sync::{Arc, Mutex};
 use std::pin::Pin;
+use std::sync::{Arc, Mutex};
 
 use async_trait::async_trait;
 use futures::Stream;
-use worker::{Handler, TextBlockEvent, TextBlockKind, Timeline};
 use worker::llm_client::{ClientError, LlmClient, Request};
+use worker::{Handler, TextBlockEvent, TextBlockKind, Timeline};
 use worker_types::{BlockType, DeltaContent, Event};
 
 use std::sync::atomic::{AtomicUsize, Ordering};
@@ -135,7 +135,8 @@ pub fn assert_event_sequence(subdir: &str) {
     }
 
     // Find a text-based fixture
-    let fixture_path = fixtures.iter()
+    let fixture_path = fixtures
+        .iter()
         .find(|p| p.to_string_lossy().contains("text"))
         .unwrap_or(&fixtures[0]);
 
@@ -184,7 +185,9 @@ pub fn assert_event_sequence(subdir: &str) {
         assert!(stop_found, "Should contain BlockStop for Text block");
     } else {
         if !stop_found {
-             println!("  [Type: ToolUse] BlockStop detection skipped (not explicitly emitted by scheme)");
+            println!(
+                "  [Type: ToolUse] BlockStop detection skipped (not explicitly emitted by scheme)"
+            );
         }
     }
 }
@@ -200,13 +203,23 @@ pub fn assert_usage_tokens(subdir: &str) {
         let events = load_events_from_fixture(&fixture);
         let usage_events: Vec<_> = events
             .iter()
-            .filter_map(|e| if let Event::Usage(u) = e { Some(u) } else { None })
+            .filter_map(|e| {
+                if let Event::Usage(u) = e {
+                    Some(u)
+                } else {
+                    None
+                }
+            })
             .collect();
 
         if !usage_events.is_empty() {
             let last_usage = usage_events.last().unwrap();
             if last_usage.input_tokens.is_some() || last_usage.output_tokens.is_some() {
-                println!("  Fixture {:?} Usage: {:?}", fixture.file_name(), last_usage);
+                println!(
+                    "  Fixture {:?} Usage: {:?}",
+                    fixture.file_name(),
+                    last_usage
+                );
                 return; // Found valid usage
             }
         }
@@ -221,7 +234,8 @@ pub fn assert_timeline_integration(subdir: &str) {
         return;
     }
 
-    let fixture_path = fixtures.iter()
+    let fixture_path = fixtures
+        .iter()
         .find(|p| p.to_string_lossy().contains("text"))
         .unwrap_or(&fixtures[0]);
 

worker/tests/parallel_execution_test.rs

@@ -2,13 +2,16 @@
 //!
 //! Workerが複数のツールを並列に実行することを確認する。
 
-use std::sync::atomic::{AtomicUsize, Ordering};
 use std::sync::Arc;
+use std::sync::atomic::{AtomicUsize, Ordering};
 use std::time::{Duration, Instant};
 
 use async_trait::async_trait;
 use worker::Worker;
-use worker_types::{Event, Message, ResponseStatus, StatusEvent, Tool, ToolError, ToolResult, ToolCall, ControlFlow, HookError, WorkerHook};
+use worker_types::{
+    ControlFlow, Event, HookError, Message, ResponseStatus, StatusEvent, Tool, ToolCall, ToolError,
+    ToolResult, WorkerHook,
+};
 
 mod common;
 use common::MockLlmClient;
@@ -105,8 +108,6 @@ async fn test_parallel_tool_execution() {
     worker.register_tool(tool2);
     worker.register_tool(tool3);
 
-
-
     let messages = vec![Message::user("Run all tools")];
 
     let start = Instant::now();
@@ -161,7 +162,10 @@ async fn test_before_tool_call_skip() {
 
     #[async_trait]
     impl WorkerHook for BlockingHook {
-        async fn before_tool_call(&self, tool_call: &mut ToolCall) -> Result<ControlFlow, HookError> {
+        async fn before_tool_call(
+            &self,
+            tool_call: &mut ToolCall,
+        ) -> Result<ControlFlow, HookError> {
             if tool_call.name == "blocked_tool" {
                 Ok(ControlFlow::Skip)
             } else {
@@ -176,8 +180,16 @@ async fn test_before_tool_call_skip() {
     let _result = worker.run(messages).await;
 
     // allowed_tool は呼び出されるが、blocked_tool は呼び出されない
-    assert_eq!(allowed_clone.call_count(), 1, "Allowed tool should be called");
+    assert_eq!(
-    assert_eq!(blocked_clone.call_count(), 0, "Blocked tool should not be called");
+        allowed_clone.call_count(),
+        1,
+        "Allowed tool should be called"
+    );
+    assert_eq!(
+        blocked_clone.call_count(),
+        0,
+        "Blocked tool should not be called"
+    );
 }
 
 /// Hook: after_tool_call で結果が改変されることを確認
@@ -212,9 +224,15 @@ async fn test_after_tool_call_modification() {
 
     #[async_trait]
     impl Tool for SimpleTool {
-        fn name(&self) -> &str { "test_tool" }
+        fn name(&self) -> &str {
-        fn description(&self) -> &str { "Test" }
+            "test_tool"
-        fn input_schema(&self) -> serde_json::Value { serde_json::json!({}) }
+        }
+        fn description(&self) -> &str {
+            "Test"
+        }
+        fn input_schema(&self) -> serde_json::Value {
+            serde_json::json!({})
+        }
         async fn execute(&self, _: &str) -> Result<String, ToolError> {
             Ok("Original Result".to_string())
         }
@@ -229,7 +247,10 @@ async fn test_after_tool_call_modification() {
 
     #[async_trait]
     impl WorkerHook for ModifyingHook {
-        async fn after_tool_call(&self, tool_result: &mut ToolResult) -> Result<ControlFlow, HookError> {
+        async fn after_tool_call(
+            &self,
+            tool_result: &mut ToolResult,
+        ) -> Result<ControlFlow, HookError> {
             tool_result.content = format!("[Modified] {}", tool_result.content);
             *self.modified_content.lock().unwrap() = Some(tool_result.content.clone());
             Ok(ControlFlow::Continue)
@@ -237,7 +258,9 @@ async fn test_after_tool_call_modification() {
     }
 
     let modified_content = Arc::new(std::sync::Mutex::new(None));
-    worker.add_hook(ModifyingHook { modified_content: modified_content.clone() });
+    worker.add_hook(ModifyingHook {
+        modified_content: modified_content.clone(),
+    });
 
     let messages = vec![Message::user("Test modification")];
     let result = worker.run(messages).await;

worker/tests/tool_macro_test.rs

@@ -2,8 +2,8 @@
 //!
 //! `#[tool_registry]` と `#[tool]` マクロの動作を確認する。
 
-use std::sync::atomic::{AtomicUsize, Ordering};
 use std::sync::Arc;
+use std::sync::atomic::{AtomicUsize, Ordering};
 
 // マクロ展開に必要なインポート
 use schemars;
@@ -59,12 +59,19 @@ async fn test_basic_tool_generation() {
 
     // 説明の確認（docコメントから取得）
     let desc = greet_tool.description();
-    assert!(desc.contains("メッセージに挨拶を追加する"), "Description should contain doc comment: {}", desc);
+    assert!(
+        desc.contains("メッセージに挨拶を追加する"),
+        "Description should contain doc comment: {}",
+        desc
+    );
 
     // スキーマの確認
     let schema = greet_tool.input_schema();
     println!("Schema: {}", serde_json::to_string_pretty(&schema).unwrap());
-    assert!(schema.get("properties").is_some(), "Schema should have properties");
+    assert!(
+        schema.get("properties").is_some(),
+        "Schema should have properties"
+    );
 
     // 実行テスト
     let result = greet_tool.execute(r#"{"message": "World"}"#).await;
@@ -104,7 +111,11 @@ async fn test_no_arguments() {
     let result = get_prefix_tool.execute(r#"{}"#).await;
     assert!(result.is_ok());
     let output = result.unwrap();
-    assert!(output.contains("TestPrefix"), "Should contain prefix: {}", output);
+    assert!(
+        output.contains("TestPrefix"),
+        "Should contain prefix: {}",
+        output
+    );
 }
 
 #[tokio::test]
@@ -169,7 +180,11 @@ async fn test_result_return_type_error() {
     assert!(result.is_err(), "Should fail for negative value");
 
     let err = result.unwrap_err();
-    assert!(err.to_string().contains("positive"), "Error should mention positive: {}", err);
+    assert!(
+        err.to_string().contains("positive"),
+        "Error should mention positive: {}",
+        err
+    );
 }
 
 // =============================================================================

worker/tests/worker_fixtures.rs

@@ -6,8 +6,8 @@
 mod common;
 
 use std::path::Path;
-use std::sync::atomic::{AtomicUsize, Ordering};
 use std::sync::Arc;
+use std::sync::atomic::{AtomicUsize, Ordering};
 
 use async_trait::async_trait;
 use common::MockLlmClient;
@@ -67,9 +67,7 @@ impl Tool for MockWeatherTool {
         let input: serde_json::Value = serde_json::from_str(input_json)
             .map_err(|e| ToolError::InvalidArgument(e.to_string()))?;
 
-        let city = input["city"]
+        let city = input["city"].as_str().unwrap_or("Unknown");
-            .as_str()
-            .unwrap_or("Unknown");
 
         // モックのレスポンスを返す
         Ok(format!("Weather in {}: Sunny, 22°C", city))
@@ -163,8 +161,6 @@ async fn test_worker_tool_call() {
     let tool_for_check = weather_tool.clone();
     worker.register_tool(weather_tool);
 
-
-
     // メッセージを送信
     let messages = vec![worker_types::Message::user("What's the weather in Tokyo?")];
     let _result = worker.run(messages).await;
@@ -212,8 +208,8 @@ async fn test_worker_with_programmatic_events() {
 /// id, name, input（JSON）を正しく抽出できることを検証する。
 #[tokio::test]
 async fn test_tool_call_collector_integration() {
-    use worker::ToolCallCollector;
     use worker::Timeline;
+    use worker::ToolCallCollector;
     use worker_types::Event;
 
     // ToolUseブロックを含むイベントシーケンス