. This paper analyses description-based communication for autonomous agents when it takes place under ideal conditions. By ideal conditions, is meant the following: agents operate in a domain consisting of novel objects but each object has a finite and unique set of basic properties. Agents are able to completely and accurately observe the basic properties of an object. Furthermore, when an agent describes an object, the agent completely and accurately describes the basic properties of the object. Finally, there are no transmission errors in the communication process and an agent that receives a message believes everything it is told. Under these conditions, it is shown that the object recognition problem is identical to the referent identification problem. Further, referent identification failures and object misrecognitions do not occur. Also, agents never acquire false beliefs, and for any object that an agent knows about, its knowledge of the basic properties of the object is complete. Sufficient conditions are stated to infer that a causal reference chain (description forwarding) is well grounded and it is shown that agents operating under the ideal conditions described above satisfy these requirements.