Skip to main content
Glama

Meet Transcript Get

MeetTranscriptGet

Get complete Google Meet transcripts as Markdown or JSON. Fetches all transcript entries for a conference, defaults to the first transcript if none specified, and supports user impersonation via DWD.

Instructions

Retrieve a full Google Meet transcript (all entries aggregated) rendered as Markdown or JSON. Defaults to the first transcript of the conference if no transcriptId is given. Impersonates userEmail via DWD.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
formatNomarkdown
userEmailYesWorkspace user email to impersonate via DWD
transcriptIdNoBare transcript ID or full `conferenceRecords/{c}/transcripts/{t}` name. Defaults to the first available.
conferenceRecordIdYes
Behavior4/5

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

With no annotations, the description discloses important behaviors: impersonation via DWD for userEmail, default selection of the first transcript when transcriptId is omitted, and aggregation of all entries. It does not mention error conditions or whether it is read-only, but the key behaviors are surfaced.

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?

Two sentences, both information-dense. The first sentence states the primary action and output formats; the second covers default behavior and authentication context. No redundancy or filler.

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

Completeness3/5

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

The description is adequate for a straightforward read tool but falls short on return value structure (no output schema) and potential edge cases like multiple transcripts or errors. It does not describe what 'full transcript' includes (e.g., speaker labels, timestamps), leaving the user to infer from the output format.

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 coverage is 50%, with conferenceRecordId missing a description. The description adds meaning to userEmail (impersonation) and transcriptId (default selection rule), but does not clarify conferenceRecordId beyond the schema name. The format parameter is already self-explanatory via its enum values.

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 unambiguously names the action ('Retrieve'), the resource ('a full Google Meet transcript'), and the scope ('all entries aggregated'). It also states the output formats (Markdown or JSON), which distinguishes it from sibling tools like MeetTranscriptList or TranscriptSearch.

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 gives clear usage context: use this tool to get the complete transcript, defaulting to the first transcript if none specified. However, it does not explicitly compare against siblings (e.g., 'use MeetTranscriptList to list available transcripts'), so it lacks explicit when-not-to-use guidance.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/silkweave/meet'

If you have feedback or need assistance with the MCP directory API, please join our Discord server