Feedback on Clark et al Paper Hypotheses: Clark et al do not advance an explicit hypothesis. Indeed, this is one of the main criticisms of the paper. There is an implicit one that: Multi-agent system technology can be successfully used to solve the problem of distributed information retrieval. However, they do not contrast this success, either positively or negatively, with rival approaches, e.g. those that use more conventional information retrieval technology. Evidence: The authors have (presumably) implemented a multi-agent system and applied it to the task of distributed information retrieval. However, there is no account of any evaluation. Indeed, the absence of an evaluation and some vagueness in the description, do make one wonder if a fully-functioning implementation ever existed. An example of vagueness is the reference at the end of section 1 to "an external thesaurus (like WordNet)". Was WordNet actually used, or some other thesaurus, in which case, which one? Possible Criticisms: Since 1997, when this paper was published, there has been a great deal of work on distributed information retrieval, e.g. the rise of Google and work on named entity recognition for extracting meaning from free text. We must not judge this paper by 2006 standards. Nevertheless, there is a lot wrong with it in purely methodological terms. * The absence of an explicit hypothesis. This makes it difficult to know what any evaluation would actually be evaluating. * The absence of an evaluation. Without an evaluation, how can we assess whether the system was a success or how the approach compares with rival ones? Information retrieval has standard measures of precision and recall, but these terms are not even mentioned let alone measured. * Related work is thin. The work is only compared with other multi-agent approaches, and even this comparison is superficial. We really want to know how multi-agent approaches compare with rival ones, but these are not mentioned. The comparison with other multi-agent approaches only says that they tackle only part of the problem, but we also want to know how they compare at the technological level and in terms of success.