Most tools occupy distinct roles: health_check, discover_api, search_documents, submit_feedback are clearly separate. Two pairs blur slightly — answer_question overlaps with search_documents (it embeds search in a fuller workflow), and recent_failures vs list_knowledge_gaps both surface failed/unhelpful queries, distinguished only by local-vs-shared scope and audience. Descriptions do enough to guide selection, but an agent must read carefully to pick the failure-review tool.

Six of seven names follow a verb_noun pattern (discover_api, search_documents, answer_question, submit_feedback, list_knowledge_gaps), plus health_check as an idiomatic noun-ish variant. recent_failures is the outlier: a bare noun phrase with no verb, unlike everything else. Minor deviation, still readable.

Seven tools is well-scoped for a documentation-search API with a feedback loop: connectivity, discovery, search, a composite answering workflow, feedback capture, and two failure/gap review views. Each tool earns its place; nothing looks like padding.

The lifecycle is well covered: preflight (health_check, discover_api), retrieval (search_documents, answer_question), learning signal (submit_feedback), and diagnostics (list_knowledge_gaps, recent_failures). The main gap is a fetch/get_document tool to read full content behind a search result URL, and there is no way to inspect an individual query's prior results beyond the failure views. Agents can work around these, but retrieval is effectively capped at snippet-level evidence.