The server has 6 tools with well-formed schemas and reasonable descriptions. However, descriptions are quite brief (averaging ~40-50 chars), some lack actionable context for LLM decision-making, and there are no output schemas documented. Tool naming is clear and verb-first (join_, leave_, speak_, send_, get_), which is good. Parameter schemas are present and typed, but descriptions for some parameters are minimal. The tool set itself is well-composed for meeting control, with clear separation of concerns (join, leave, speak, chat, transcript). However, the server lacks critical error handling guidance, recovery instructions, and output schema documentation that production tools require.
Get the chat history from the chat inside the meeting.
Get the transcript of the meeting. By default, returns the full transcript. To get a slice, set mode to 'first' or 'latest' and provide a positive minutes value.
Join a meeting with the given URL and participant name.
Leave the current meeting.
Send a chat message in the meeting chat.
Speak the given text in the meeting.
No output schemas documented. Tools return data but LLMs cannot plan downstream calls or extract structured fields.
Tool descriptions are brief (30 - 70 chars) and lack context on WHEN to use each tool and WHAT it returns. 'Get the chat history from the chat inside the meeting' does not explain structure, pagination, or use cases.
Parameter descriptions are minimal or missing. 'Text to be spoken' and 'Message to be sent' do not explain character limits, length constraints, or supported content types.
No error handling or recovery guidance. If join_meeting fails due to invalid URL, wrong passcode, or network timeout, the tool returns an error but provides no actionable next steps for the LLM.
Inferred effective spec: <=2025-11-25.
| Scored | Grade | Overall | Spec posture | Rubric |
|---|---|---|---|---|
| 2026-09-22 | B | 70 | <=2025-11-25 | v2 |
| 2026-03-09 | D | 55 | - | v1 |
No confirmation or dry-run pattern for destructive operations. leave_meeting, speak_text, and send_chat_message modify state but provide no way for agents to preview or confirm before committing.
get_chat_history and get_transcript lack pagination parameters (limit, offset, cursor). Large meetings could return thousands of messages, exhausting context. No result capping documented.