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# Source code for langchain_community.tools.semanticscholar.tool

    """Tool for the SemanticScholar API."""

    from typing import Optional, Type

    from langchain_core.callbacks import CallbackManagerForToolRun
    from langchain_core.pydantic_v1 import BaseModel, Field
    from langchain_core.tools import BaseTool

    from langchain_community.utilities.semanticscholar import SemanticScholarAPIWrapper

    class SemantscholarInput(BaseModel):
        """Input for the SemanticScholar tool."""

        query: str = Field(description="search query to look up")

    class SemanticScholarQueryRun(BaseTool):
        """Tool that searches the semanticscholar API."""

        name: str = "semanticscholar"
        description: str = (
            "A wrapper around semantischolar.org "
            "Useful for when you need to answer to questions"
            "from research papers."
            "Input should be a search query."
        )
        api_wrapper: SemanticScholarAPIWrapper = Field(
            default_factory=SemanticScholarAPIWrapper
        )
        args_schema: Type[BaseModel] = SemantscholarInput

        def _run(
            self,
            query: str,
            run_manager: Optional[CallbackManagerForToolRun] = None,
        ) -> str:
            """Use the Semantic Scholar tool."""
            return self.api_wrapper.run(query)