docs: def describe(id_or_link, **kwargs):
      '''
      :param id_or_link: String containing an object ID or dict containing a DXLink,
                         or a list of object IDs or dicts containing a DXLink.
  
      Given an object ID, calls :meth:`~dxpy.bindings.DXDataObject.describe` on the object.
  
      Example::
  
          describe("file-1234")
  
      Given a list of object IDs, calls :meth:`~dxpy.api.system_describe_data_objects`.
  
      Example::
  
          describe(["file-1234", "workflow-5678"])
  
      Note: If id_or_link is a list and **kwargs contains a "fields" parameter, these
      fields will be returned in the response for each data object in addition to the
      fields included by default. Additionally, describe options can be provided for
      each data object class in the "classDescribeOptions" kwargs argument. See
      https://wiki.dnanexus.com/API-Specification-v1.0.0/System-Methods#API-method:-/system/describeDataObjects
      for input parameters used with the multiple object describe method.
      '''
      # If this is a list, extract the ids.
      # TODO: modify the procedure to use project ID when possible
      if isinstance(id_or_link, basestring) or is_dxlink(id_or_link):
          handler = get_handler(id_or_link)
          return handler.describe(**kwargs)
      else:
          links = []
          for link in id_or_link:
              # If this entry is a dxlink, then get the id.
              if is_dxlink(link):
                  # Guaranteed by is_dxlink that one of the following will work
                  if isinstance(link['$dnanexus_link'], basestring):
                      link = link['$dnanexus_link']
                  else:
                      link = link['$dnanexus_link']['id']
              links.append(link)
  
          # Prepare input to system_describe_data_objects, the same fields will be passed
          # for all data object classes; if a class doesn't include a field in its describe
          # output, it will be ignored
          describe_input = \
              dict([(field, True) for field in kwargs['fields']]) if kwargs.get('fields', []) else True
          describe_links_input = [{'id': link, 'describe': describe_input} for link in links]
          bulk_describe_input = {'objects': describe_links_input}
  
          if 'classDescribeOptions' in kwargs:
              bulk_describe_input['classDescribeOptions'] = kwargs['classDescribeOptions']
  
          data_object_descriptions = dxpy.api.system_describe_data_objects(bulk_describe_input)
          return [desc['describe'] for desc in data_object_descriptions['results']]