✨ feat(kebab-mcp): search tool (fb-30)

Third tool — `search` (input: query / mode / k). First tool with
non-empty input — establishes the pattern: SearchInput struct with
JsonSchema derive + Tool::new uses
rmcp::handler::server::common::schema_for_type::<SearchInput>() for
inputSchema + call_tool match arm parses request.arguments via
serde_json::from_value.

search_with_config takes owned Config, so state.config (Arc<Config>)
is cloned via (*state.config).clone(). Output: search_hit.v1 array —
SearchHit (kebab-core) does not carry schema_version field, so each
element is tagged inline before serialising.

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

crates/kebab-mcp/tests/tools_call_search.rs

@@ -0,0 +1,90 @@
+//! Integration: tools/call name=search — verify response is search_hit.v1 array.
+
+use std::fs;
+
+use kebab_config::Config;
+use kebab_core::SourceScope;
+use kebab_mcp::{KebabAppState, KebabHandler};
+use rmcp::model::RawContent;
+
+fn minimal_config(data_dir: &std::path::Path, workspace_root: &std::path::Path) -> Config {
+    let mut cfg = Config::defaults();
+    cfg.storage.data_dir = data_dir.to_string_lossy().into_owned();
+    cfg.storage.model_dir = data_dir
+        .join("models")
+        .to_string_lossy()
+        .into_owned();
+    cfg.workspace.root = workspace_root.to_string_lossy().into_owned();
+    cfg.workspace.exclude.clear();
+    cfg.models.embedding.provider = "none".to_string();
+    cfg.models.embedding.dimensions = 0;
+    cfg
+}
+
+#[tokio::test]
+async fn search_tool_returns_search_hits_array() {
+    let dir = tempfile::tempdir().unwrap();
+    let data_dir = dir.path().join("data");
+    let workspace_root = dir.path().join("notes");
+    fs::create_dir_all(&data_dir).unwrap();
+    fs::create_dir_all(&workspace_root).unwrap();
+
+    let config = minimal_config(&data_dir, &workspace_root);
+
+    // Write a markdown document containing the query term.
+    fs::write(
+        workspace_root.join("a.md"),
+        "# Alpha\n\nThis document mentions kebab and bread.",
+    )
+    .unwrap();
+
+    // Seed kebab.sqlite via ingest so search has indexed content.
+    let scope = SourceScope {
+        root: workspace_root.clone(),
+        include: vec![],
+        exclude: vec![],
+    };
+    let _ = kebab_app::ingest_with_config(config.clone(), scope, false).unwrap();
+
+    let state = KebabAppState::new(config, None);
+    let handler = KebabHandler::new(state);
+
+    let result = kebab_mcp::tools::search::handle(
+        handler.state(),
+        kebab_mcp::tools::search::SearchInput {
+            query: "kebab".to_string(),
+            mode: "lexical".to_string(),
+            k: 5,
+        },
+    );
+
+    assert!(
+        !result.is_error.unwrap_or(false),
+        "expected isError=false, got {:?}",
+        result
+    );
+
+    let content = result
+        .content
+        .first()
+        .expect("expected at least one content item");
+
+    let text = match &content.raw {
+        RawContent::Text(t) => &t.text,
+        other => panic!("expected text content, got {other:?}"),
+    };
+
+    let v: serde_json::Value = serde_json::from_str(text).unwrap();
+    let arr = v.as_array().expect("search returns a JSON array");
+    assert!(
+        !arr.is_empty(),
+        "expected at least one hit for 'kebab' in 'a.md'"
+    );
+    assert_eq!(
+        arr[0]
+            .get("schema_version")
+            .and_then(|s| s.as_str()),
+        Some("search_hit.v1"),
+        "first hit should carry schema_version=search_hit.v1"
+    );
+}