refactor(tool-search): consolidate MCP metadata tag and harden deferred-tool setup

backend/packages/harness/deerflow/agents/lead_agent/agent.py

@@ -18,7 +18,10 @@
 ``create_chat_model`` call must add to this list and pass the flag.
 """
 
+from __future__ import annotations
+
 import logging
+from typing import TYPE_CHECKING
 
 from langchain.agents import create_agent
 from langchain.agents.middleware import AgentMiddleware
@@ -45,6 +48,11 @@
 from deerflow.skills.types import Skill
 from deerflow.tracing import build_tracing_callbacks
 
+if TYPE_CHECKING:
+    from langchain.tools import BaseTool
+
+    from deerflow.tools.builtins.tool_search import DeferredToolSetup
+
 logger = logging.getLogger(__name__)
 
 
@@ -356,21 +364,24 @@ def _build_middlewares(
     return middlewares
 
 
-def _assemble_deferred(filtered_tools, *, enabled: bool):
+def _assemble_deferred(filtered_tools: list[BaseTool], *, enabled: bool) -> tuple[list[BaseTool], DeferredToolSetup]:
     """Build the final tool list + deferred setup from a policy-filtered list.
 
     Call AFTER tool-policy filtering so the deferred catalog never exposes a
     tool the agent is not allowed to use. Fail-closed: if tool_search is enabled
     and MCP tools survived filtering but no deferred set was recovered, raise
     rather than silently binding their full schemas to the model.
     """
-    from deerflow.tools.builtins.tool_search import _is_mcp_tool, build_deferred_tool_setup
+    from deerflow.tools.builtins.tool_search import build_deferred_tool_setup
+    from deerflow.tools.mcp_metadata import is_mcp_tool
 
-    setup = build_deferred_tool_setup(filtered_tools, enabled=enabled)
-    if enabled and not setup.deferred_names and any(_is_mcp_tool(t) for t in filtered_tools):
+    deferred_setup = build_deferred_tool_setup(filtered_tools, enabled=enabled)
+    if enabled and not deferred_setup.deferred_names and any(is_mcp_tool(t) for t in filtered_tools):
         raise RuntimeError("tool_search enabled and MCP tools survived policy filtering, but no deferred set was recovered — refusing to bind MCP schemas (fail-closed).")
-    final_tools = list(filtered_tools) + ([setup.tool_search_tool] if setup.tool_search_tool else [])
-    return final_tools, setup
+    final_tools = list(filtered_tools)
+    if deferred_setup.tool_search_tool:
+        final_tools.append(deferred_setup.tool_search_tool)
+    return final_tools, deferred_setup
 
 
 def _available_skill_names(agent_config, is_bootstrap: bool) -> set[str] | None:

backend/packages/harness/deerflow/tools/builtins/tool_search.py

@@ -28,11 +28,25 @@
 from langchain_core.utils.function_calling import convert_to_openai_function
 from langgraph.types import Command
 
+from deerflow.tools.mcp_metadata import is_mcp_tool
+
 logger = logging.getLogger(__name__)
 
 MAX_RESULTS = 5  # Max tools returned per search
 
 
+def _compile_catalog_regex(pattern: str) -> re.Pattern[str]:
+    """Compile ``pattern`` case-insensitively, falling back to a literal match.
+
+    Search queries come from the model, so an invalid regex (e.g. an unbalanced
+    paren) must degrade to a literal substring match rather than raise.
+    """
+    try:
+        return re.compile(pattern, re.IGNORECASE)
+    except re.error:
+        return re.compile(re.escape(pattern), re.IGNORECASE)
+
+
 # ── Catalog ──
 
 
@@ -56,22 +70,25 @@ def hash(self) -> str:
         return hashlib.sha256(blob.encode("utf-8")).hexdigest()[:16]
 
     def search(self, query: str) -> list[BaseTool]:
+        query = query.strip()
+        if not query:
+            return []
+
         if query.startswith("select:"):
             wanted = {n.strip() for n in query[7:].split(",")}
             return [t for t in self.tools if t.name in wanted][:MAX_RESULTS]
 
         if query.startswith("+"):
             parts = query[1:].split(None, 1)
+            if not parts:
+                return []  # bare "+" with no required token — nothing to require
             required = parts[0].lower()
             candidates = [t for t in self.tools if required in t.name.lower()]
             if len(parts) > 1:
                 candidates.sort(key=lambda t: _catalog_regex_score(parts[1], t), reverse=True)
             return candidates[:MAX_RESULTS]
 
-        try:
-            regex = re.compile(query, re.IGNORECASE)
-        except re.error:
-            regex = re.compile(re.escape(query), re.IGNORECASE)
+        regex = _compile_catalog_regex(query)
         scored: list[tuple[int, BaseTool]] = []
         for t in self.tools:
             searchable = f"{t.name} {t.description or ''}"
@@ -82,10 +99,7 @@ def search(self, query: str) -> list[BaseTool]:
 
 
 def _catalog_regex_score(pattern: str, t: BaseTool) -> int:
-    try:
-        regex = re.compile(pattern, re.IGNORECASE)
-    except re.error:
-        regex = re.compile(re.escape(pattern), re.IGNORECASE)
+    regex = _compile_catalog_regex(pattern)
     return len(regex.findall(f"{t.name} {t.description or ''}"))
 
 
@@ -94,15 +108,25 @@ def _catalog_regex_score(pattern: str, t: BaseTool) -> int:
 
 @dataclass(frozen=True)
 class DeferredToolSetup:
+    """Result of assembling deferred-tool support for one agent build.
+
+    The three fields move as a unit, so callers branch on ``tool_search_tool``:
+
+    - **Empty** ``(None, frozenset(), None)``: deferral is disabled, or no MCP
+      tool survived policy filtering. Nothing is deferred — bind tools as-is.
+    - **Populated**: ``tool_search_tool`` is appended to the agent's tools,
+      ``deferred_names`` are withheld from the model until promoted, and
+      ``catalog_hash`` scopes those promotions in graph state.
+
+    Invariant: ``tool_search_tool is None`` ⟺ ``deferred_names`` is empty ⟺
+    ``catalog_hash is None``.
+    """
+
     tool_search_tool: BaseTool | None
     deferred_names: frozenset[str]
     catalog_hash: str | None
 
 
-def _is_mcp_tool(t: BaseTool) -> bool:
-    return (getattr(t, "metadata", None) or {}).get("deerflow_mcp") is True
-
-
 def build_tool_search_tool(catalog: DeferredToolCatalog) -> BaseTool:
     catalog_hash = catalog.hash
 
@@ -141,11 +165,17 @@ def build_deferred_tool_setup(filtered_tools: list[BaseTool], *, enabled: bool)
 
     Must be called after skill/agent tool-policy filtering so the catalog never
     exposes a tool the current agent is not allowed to use.
+
+    Returns an empty setup (see :class:`DeferredToolSetup`) in two distinct
+    cases: deferral is disabled, or it is enabled but no MCP tool survived
+    filtering.
     """
     if not enabled:
+        # Deferral disabled: defer nothing; the model binds every tool as before.
         return DeferredToolSetup(None, frozenset(), None)
-    deferred = [t for t in filtered_tools if _is_mcp_tool(t)]
+    deferred = [t for t in filtered_tools if is_mcp_tool(t)]
     if not deferred:
+        # Enabled, but no MCP tool to defer: same empty result, different reason.
         return DeferredToolSetup(None, frozenset(), None)
     catalog = DeferredToolCatalog(tuple(deferred))
     return DeferredToolSetup(build_tool_search_tool(catalog), catalog.names, catalog.hash)

backend/packages/harness/deerflow/tools/mcp_metadata.py

@@ -0,0 +1,29 @@
+"""Single source of truth for the MCP-tool metadata tag.
+
+A tool is "MCP-sourced" when it carries the ``deerflow_mcp`` metadata flag.
+The tag is *written* where MCP tools are loaded (``tools.py``) and *read* by
+deferred-tool assembly (``tool_search.py``) and the agent build site
+(``agent.py``). Keeping the key, the tagger, and the predicate here means the
+magic string lives in exactly one place, and readers import a public predicate
+instead of a private cross-module helper.
+
+This is a leaf module by design: it depends only on ``BaseTool`` so that any
+module (including the tool loader) can import it without an import cycle.
+"""
+
+from __future__ import annotations
+
+from langchain.tools import BaseTool
+
+MCP_TOOL_METADATA_KEY = "deerflow_mcp"
+
+
+def tag_mcp_tool(tool: BaseTool) -> BaseTool:
+    """Mark ``tool`` as MCP-sourced. Mutates in place and returns it for chaining."""
+    tool.metadata = {**(tool.metadata or {}), MCP_TOOL_METADATA_KEY: True}
+    return tool
+
+
+def is_mcp_tool(tool: BaseTool) -> bool:
+    """True when ``tool`` carries the MCP-source tag written by :func:`tag_mcp_tool`."""
+    return (getattr(tool, "metadata", None) or {}).get(MCP_TOOL_METADATA_KEY) is True

backend/packages/harness/deerflow/tools/tools.py

@@ -7,6 +7,7 @@
 from deerflow.reflection import resolve_variable
 from deerflow.sandbox.security import is_host_bash_allowed
 from deerflow.tools.builtins import ask_clarification_tool, present_file_tool, task_tool, view_image_tool
+from deerflow.tools.mcp_metadata import tag_mcp_tool
 from deerflow.tools.sync import make_sync_tool_wrapper
 
 logger = logging.getLogger(__name__)
@@ -132,7 +133,7 @@ def get_available_tools(
                     # the deferred catalog + tool_search tool are assembled per
                     # agent from the policy-filtered tool list.
                     for t in mcp_tools:
-                        t.metadata = {**(t.metadata or {}), "deerflow_mcp": True}
+                        tag_mcp_tool(t)
         except ImportError:
             logger.warning("MCP module not available. Install 'langchain-mcp-adapters' package to enable MCP tools.")
         except Exception as e:

backend/tests/test_deferred_catalog.py

@@ -54,6 +54,23 @@ def calc(expr: str) -> str:
     assert cat.search("zzz(") == []
 
 
+def test_search_empty_query_returns_empty(catalog):
+    # An empty / whitespace-only query is meaningless; rather than let the empty
+    # regex match every tool, search() returns nothing so the model gets a clear
+    # "no match" signal and re-queries instead of acting on noise.
+    assert catalog.search("") == []
+    assert catalog.search("   ") == []
+
+
+def test_search_bare_plus_returns_empty(catalog):
+    # A "+" prefix with no required token is malformed model input. It must
+    # return no matches, not raise IndexError on parts[0]. " + " strips to "+",
+    # so it routes here too and must be handled the same way.
+    assert catalog.search("+") == []
+    assert catalog.search(" + ") == []
+    assert catalog.search("+   ") == []
+
+
 def test_hash_stable_across_instances():
     c1 = DeferredToolCatalog((alpha_search, beta_translate))
     c2 = DeferredToolCatalog((beta_translate, alpha_search))

backend/tests/test_deferred_promotion_integration.py

@@ -20,6 +20,7 @@
 from deerflow.agents.middlewares.deferred_tool_filter_middleware import DeferredToolFilterMiddleware
 from deerflow.agents.thread_state import ThreadState
 from deerflow.tools.builtins.tool_search import build_deferred_tool_setup
+from deerflow.tools.mcp_metadata import tag_mcp_tool
 
 
 @as_tool
@@ -40,11 +41,6 @@ def mcp_other(x: str) -> str:
     return x
 
 
-def _tag(t):
-    t.metadata = {**(t.metadata or {}), "deerflow_mcp": True}
-    return t
-
-
 def test_tool_search_promotes_into_next_turn():
     bound: list[list[str]] = []
 
@@ -53,7 +49,7 @@ def bind_tools(self, tools, **kwargs):
             bound.append([getattr(t, "name", None) for t in tools])
             return self
 
-    setup = build_deferred_tool_setup([active_tool, _tag(mcp_calc), _tag(mcp_other)], enabled=True)
+    setup = build_deferred_tool_setup([active_tool, tag_mcp_tool(mcp_calc), tag_mcp_tool(mcp_other)], enabled=True)
     turn1 = AIMessage(content="", tool_calls=[{"name": "tool_search", "args": {"query": "select:mcp_calc"}, "id": "c1", "type": "tool_call"}])
     turn2 = AIMessage(content="done")
     model = RecordingModel(messages=iter([turn1, turn2]))

backend/tests/test_deferred_setup.py

@@ -1,7 +1,8 @@
 from langchain_core.tools import tool as as_tool
 from langgraph.types import Command
 
-from deerflow.tools.builtins.tool_search import DeferredToolCatalog, _is_mcp_tool, build_deferred_tool_setup, build_tool_search_tool
+from deerflow.tools.builtins.tool_search import DeferredToolCatalog, build_deferred_tool_setup, build_tool_search_tool
+from deerflow.tools.mcp_metadata import is_mcp_tool, tag_mcp_tool
 
 
 @as_tool
@@ -16,18 +17,13 @@ def local_echo(text: str) -> str:
     return text
 
 
-def _tag_mcp(t):
-    t.metadata = {**(t.metadata or {}), "deerflow_mcp": True}
-    return t
-
-
 def test_is_mcp_tool_reads_metadata():
-    assert _is_mcp_tool(_tag_mcp(mcp_calc)) is True
-    assert _is_mcp_tool(local_echo) is False
+    assert is_mcp_tool(tag_mcp_tool(mcp_calc)) is True
+    assert is_mcp_tool(local_echo) is False
 
 
 def test_setup_disabled_returns_empty():
-    setup = build_deferred_tool_setup([_tag_mcp(mcp_calc), local_echo], enabled=False)
+    setup = build_deferred_tool_setup([tag_mcp_tool(mcp_calc), local_echo], enabled=False)
     assert setup.tool_search_tool is None
     assert setup.deferred_names == frozenset()
     assert setup.catalog_hash is None
@@ -40,7 +36,7 @@ def test_setup_no_mcp_returns_empty():
 
 
 def test_setup_builds_from_mcp_survivors():
-    setup = build_deferred_tool_setup([_tag_mcp(mcp_calc), local_echo], enabled=True)
+    setup = build_deferred_tool_setup([tag_mcp_tool(mcp_calc), local_echo], enabled=True)
     assert setup.deferred_names == frozenset({"mcp_calc"})
     assert setup.tool_search_tool is not None
     assert setup.tool_search_tool.name == "tool_search"

backend/tests/test_deferred_tool_crosscontext.py

@@ -23,6 +23,7 @@
 from deerflow.skills.tool_policy import filter_tools_by_skill_allowed_tools
 from deerflow.skills.types import Skill
 from deerflow.tools.builtins.tool_search import DeferredToolSetup, build_deferred_tool_setup
+from deerflow.tools.mcp_metadata import tag_mcp_tool
 
 
 @as_tool
@@ -37,11 +38,6 @@ def mcp_secret(x: str) -> str:
     return x
 
 
-def _tag(t):
-    t.metadata = {**(t.metadata or {}), "deerflow_mcp": True}
-    return t
-
-
 _BOUND: list[list[str]] = []
 
 
@@ -52,7 +48,7 @@ def bind_tools(self, tools, **kwargs):
 
 
 def _build_graph():
-    filtered = [active_tool, _tag(mcp_secret)]
+    filtered = [active_tool, tag_mcp_tool(mcp_secret)]
     setup = build_deferred_tool_setup(filtered, enabled=True)
     final = [*filtered, setup.tool_search_tool]
     model = _RecordingModel(messages=iter([AIMessage(content="done")] * 4))
@@ -107,18 +103,18 @@ def test_fail_closed_when_mcp_survives_without_setup(monkeypatch):
         lambda tools, *, enabled: DeferredToolSetup(None, frozenset(), None),
     )
     with pytest.raises(RuntimeError, match="fail-closed"):
-        agentmod._assemble_deferred([_tag(mcp_secret)], enabled=True)
+        agentmod._assemble_deferred([tag_mcp_tool(mcp_secret)], enabled=True)
 
 
 def test_subagent_reentry_does_not_touch_lead_state():
     """#2884: building a second (subagent) setup must not affect the lead's
     middleware. With no shared registry/ContextVar, the lead middleware depends
     only on its own deferred_names + the passed state."""
-    lead_setup = build_deferred_tool_setup([active_tool, _tag(mcp_secret)], enabled=True)
+    lead_setup = build_deferred_tool_setup([active_tool, tag_mcp_tool(mcp_secret)], enabled=True)
     mw = DeferredToolFilterMiddleware(lead_setup.deferred_names, lead_setup.catalog_hash)
 
     # Simulate a subagent build re-entering tool assembly with its own setup.
-    _ = build_deferred_tool_setup([_tag(mcp_secret)], enabled=True)
+    _ = build_deferred_tool_setup([tag_mcp_tool(mcp_secret)], enabled=True)
 
     class _Req:
         def __init__(self):
@@ -154,7 +150,7 @@ def test_policy_denied_mcp_yields_no_tool_search_end_to_end():
     tool_search (and does not fail-closed, because no MCP tool leaked through)."""
     from deerflow.agents.lead_agent import agent as agentmod
 
-    filtered = filter_tools_by_skill_allowed_tools([active_tool, _tag(mcp_secret)], [_make_skill(["active_tool"])])
+    filtered = filter_tools_by_skill_allowed_tools([active_tool, tag_mcp_tool(mcp_secret)], [_make_skill(["active_tool"])])
     final_tools, setup = agentmod._assemble_deferred(filtered, enabled=True)
 
     assert [t.name for t in final_tools] == ["active_tool"]
@@ -174,7 +170,7 @@ def test_tool_search_appended_after_policy_but_never_exposes_denied_tool():
     from deerflow.agents.lead_agent import agent as agentmod
 
     allowed = ["active_tool", "mcp_secret"]  # permits the MCP tool, does NOT list tool_search
-    filtered = filter_tools_by_skill_allowed_tools([active_tool, _tag(mcp_secret)], [_make_skill(allowed)])
+    filtered = filter_tools_by_skill_allowed_tools([active_tool, tag_mcp_tool(mcp_secret)], [_make_skill(allowed)])
     final_tools, setup = agentmod._assemble_deferred(filtered, enabled=True)
 
     names = {t.name for t in final_tools}