ai-l1-support-agent
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TDQS
Scored across 12 tools
Each tool targets a distinct action within its domain: ticket management, knowledge lookup, notification, bug creation, and feedback. The descriptions clearly differentiate overlapping concepts like tickets_add_reply vs feedback_add and update_classification vs change_status.
Tools largely follow a domain_verb_noun pattern (tickets_add_reply, knowledge_get_article, github_create_bug). Minor exceptions like feedback_add/feedback_list (implicit object) and tickets_list_new (adjective instead of noun) create slight inconsistency but remain predictable.
The 12 tools cover a well-scoped support agent workflow: ticket triage, knowledge access, escalation, bug reporting, and feedback. The count is within the ideal range and each tool serves a clear purpose.
Core ticket operations are covered, but there is no way to list tickets by status other than 'new', which prevents the agent from resuming work on in-progress or waiting tickets. Knowledge draft creation exists without management (list/update), leaving an incomplete workflow.