action-messages

MUD action messages can adapt grammar by using perspective-aware tokens like $N, $v, and $t to automatically adjust pronouns and verb conjugations for the actor, target, and room observers. This ensures natural narration across all viewpoints without manual string duplication.

Action message tokens like $v for verbs and $p for pronouns dynamically conjugate and substitute text based on the subject reading the message. They resolve plurality and gender automatically so that a single template produces grammatically correct output for every perspective.

Targetted actions use specific action functions like targetted_action and my_target_action to render distinct messages for the actor, the target, and room observers. Tokens such as $o and $r handle object references and reflexives so each perspective sees appropriate grammar.

Yes, action message templates work for any interactive narrative requiring context-aware narration. The token-based system handles articles, pronouns, and verb conjugations dynamically, making it suitable for any text-based game or story environment where actions must be rendered from multiple perspectives.

Incorrect pronouns and articles typically occur when templates omit reflexive tokens like $r or fail to account for plurality. Using the correct action function and applying the full set of perspective-aware tokens ensures proper article handling and grammar across actor, target, and observer contexts.

Reflexive actions in text game narration are handled using the $r token alongside appropriate action functions like my_action. This automatically resolves reflexive pronouns so that actions performed on oneself read naturally without requiring separate template strings for each perspective.