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start_meeting_bot

Send a bot to join ONE Zoom, Google Meet, Teams or Webex call and record it, producing a speaker-attributed transcript after the call ends. This is the only tool here that creates new transcription work, so it takes a single meeting_url — never a list — and is rate limited to 5 bots per hour per account. It consumes the account's meeting minutes. The transcript is not available when this returns; track it with list_scheduled_meetings. Requires an OAuth 2.1 user access token.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
titleNoTitle for the resulting transcript. Optional.
languageNoISO 639-1 language code for the meeting audio. Optional; auto-detected when omitted.
meeting_urlYesThe meeting link to join (Zoom, Google Meet, Teams or Webex). ONE url — this tool does not take a list.
scheduled_timeNoISO 8601 time for the bot to join. Omit to join immediately. Must be in the future.

TDQS

A4.7/5.0
Behavior5/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations only mark readOnly/idempotent/destructive as false; the description adds the important behavioral facts: the result is asynchronous, it consumes meeting minutes, it is rate limited to 5 bots/hour, and OAuth 2.1 user auth is required. No contradiction with annotations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Five short sentences each carry distinct value: what it does, uniqueness/single-URL limit, minutes consumption, async follow-up, and auth. It is front-loaded with the core action and contains no filler.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a creation tool with no output schema, it covers platforms, side effects, rate limiting, auth, the async nature of the result, and the tracking path. An agent has enough information to invoke it correctly and understand what to expect.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so the schema already documents title, language, meeting_url, and scheduled_time with descriptions. The description mostly reinforces the single-URL constraint already present in the schema and does not add parameter-level semantics beyond it.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description opens with a precise verb and resource: 'Send a bot to join ONE Zoom, Google Meet, Teams or Webex call and record it, producing a speaker-attributed transcript after the call ends.' This clearly distinguishes it from the many list/status/cancel siblings as the active meeting-bot creation tool.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

It explicitly says when to use it ('the only tool here that creates new transcription work'), what it does not accept ('never a list'), and what to do next ('track it with list_scheduled_meetings'). Rate limits and account-minute consumption add decision-relevant constraints beyond the schema.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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TDQS

A3.8/5.0
Disambiguation3/5

The set contains several near-neighbor groups: deprecated aliases duplicate live tools, and docs/billing/financial tools have fuzzy boundaries. Individual descriptions are detailed and resolve most collisions, but matching the right tool among 39 still requires care.

Naming Consistency3/5

Most tools follow a sensible verb_object style, but the transcribe_* group is inconsistent: transcribe_url/transcribe_upload are verb_object, while transcribe_status/transcribe_cancel/transcribe_delete are really status/cancel/delete operations renamed with a transcribe prefix. The deprecated transcription_status/transcription_url aliases add another naming convention, so the pattern is not reliable across the set.

Tool Count2/5

39 tools is well over the 25+ threshold and creates an overwhelmingly broad surface spanning account management, billing, docs, API jobs, library organization, meeting bots, and automations. Two deprecated duplicates inflate the count further. This would be more coherent split into separate servers or at least pruned of deprecated aliases.

Completeness3/5

Core API transcription lifecycle is covered, and the library/meeting-bot flows have search, tagging, moving, and audio retrieval. However, there is no user-library deletion/rename, no OAuth-side full-transcript access, local upload is non-functional over the hosted endpoint, and webhook management is documented but not exposed as tools. These gaps force agents to work around missing operations.