AI Answer Visibility Tracker MCP Server
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TDQS
Scored across 1 tool
There is only one tool, so there is no possibility of tool-selection confusion. Its purpose is clearly scoped to checking AI answer visibility for a brand across questions and engines.
The single tool uses a clear snake_case verb_noun pattern: track_ai_answer_visibility. With only one tool, there are no competing conventions or naming inconsistencies.
A single tool is reasonable for a focused visibility-tracking operation, and it avoids unnecessary surface area. However, the one tool bundles many engines, sampling, and summary outputs, so 1 tool is on the thin side and could arguably be split into more granular operations.
The tool covers the core domain well: multi-engine querying, sampling, per-answer rows, per-question summaries, per-brand summaries, and input/error handling. Minor gaps remain around retrieving prior runs by run ID or managing historical visibility comparisons, but the main workflow is complete.