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TeamMeet

import_transcript

Bring a meeting transcript or a chat log from another tool into the dashboard of the account this key was minted by — .vtt/.srt captions (Zoom, Google Meet, Teams, Fireflies, Grain), Otter-style text, Read AI JSON, any JSON list of turns with names and times, or the chats: Google Meet's chat log, Zoom's meeting_saved_chat.txt, a WhatsApp export. Speaker labels are kept exactly as written; a chat is filed as a chat. Returns the meeting id and link.

Input Schema

NameRequiredDescriptionDefault
nameYesThe file name, with its extension — it says what format this is and often carries the date.
textYesThe whole file as text.
titleNoA title for the meeting, if the file name is not one.
started_atNoISO 8601 start time, if the file does not say.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.9/5.0
Behavior3/5

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

With no annotations, the description carries the full behavioral burden. It usefully discloses that speaker labels are preserved, chats are filed as chats, and the tool returns a meeting id and link, but it omits important import behavior such as duplicate handling, size limits, permissions, and error behavior.

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

Conciseness4/5

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

The description is front-loaded with the core action and then lists supported formats efficiently. The long format enumeration is justified because it directly helps an agent decide whether a given input is supported, though it could be slightly tighter.

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

Completeness4/5

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

For a multi-format import tool with no output schema, the description does well by naming supported formats, explaining preservation behavior, and stating the return value. It is still missing operational details around duplicates, permissions, and failures, but the core invocation context is present.

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 parameter meanings are already well documented in the input schema. The description adds context about filename extensions indicating format and date, but this largely overlaps with the schema rather than adding substantial new parameter semantics.

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 uses a specific verb and resource: importing an external meeting transcript or chat log into the dashboard. It clearly distinguishes this from retrieval-oriented siblings such as get_transcript by emphasizing import from another tool and enumerating supported source formats.

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

Usage Guidelines4/5

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

The description makes the use case clear: import when you have a transcript or chat file from another tool. It lists many supported formats and sources, but does not explicitly state when not to use it or name an alternative sibling tool.

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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