CTM VoiceAI MCP
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TDQS
Scored across 11 tools
The read/fetch tools (get_calls, get_voice_bots, list_runs, run_status, write_report) each map to a distinct step of the review flow, and step numbering in descriptions helps. The weak spot is the six auth tools: ctm_voiceai_configured vs ctm_voiceai_auth_status both report storage/state, and auth_login (device flow) vs auth_url+auth_exchange (web flow) are two paths to the same goal, which invites misselection.
All names share the ctm_voiceai_ prefix and snake_case, but the internal ordering mixes conventions: verb-first (list_runs, get_calls, write_report) alongside resource-first (auth_status, auth_exchange, auth_url, run_status). ctm_voiceai_configured breaks the pattern further by using a past-tense adjective with no verb.
11 tools is a sensible size for an OAuth plus review-and-report workflow, and each tool does earn a slot. It is slightly top-heavy, though, with 6 of 11 tools devoted to authentication while the actual analysis flow gets 5.
The surface covers the full auth lifecycle (url/exchange/login/logout/status/configured) plus run listing, run status, agent and call retrieval, and report writing, so an agent can complete the review loop end to end. Minor gaps: no explicit run-start trigger or date-range filtering on get_calls, but these are workable around via the batch plan.