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meet_fetch_drive_transcript

Retrieve Google Meet transcripts saved to Drive and turn them into a structured session for analysis. Search by file ID or query to access meeting records.

Instructions

Finds and reads Google Meet transcript documents auto-saved in Google Drive, and parses them into a durable session.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
titleNo
file_id_or_queryYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv0.1.0

TDQS

B3/5.0
Behavior2/5

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

With no annotations provided, the description carries the full burden. It discloses a side effect ('parses them into a durable session') but does not state authentication prerequisites, whether a session is created or updated, or the lifecycle impact. The read-then-persist behavior is only partially transparent.

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?

A single tight sentence that leads with the main action and resource. No filler; every clause adds information about the tool's behavior.

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

Completeness2/5

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

Despite an output schema, the description omits prerequisites (auth/session existence) and parameter semantics, and only vaguely explains the 'durable session' side effect. For a tool with no annotations and a low-coverage schema, this is not complete enough to invoke reliably in all cases.

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

Parameters2/5

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

Schema description coverage is 0%, so the description must clarify the two parameters. It does not explain how file_id_or_query behaves when it is a query versus an ID, and the optional title is left entirely ambiguous. The word 'Finds' provides only a weak hint.

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

Purpose4/5

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

The description identifies a specific verb sequence ('finds and reads... parses') and a concrete resource: Google Meet transcripts auto-saved in Google Drive. It is clear enough to distinguish from siblings like meet_fetch_google_transcript, though it does not explicitly name the distinction.

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

Usage Guidelines3/5

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

The source ('auto-saved in Google Drive') and destination ('durable session') imply when to use it, but the description gives no explicit guidance on when not to use it or what alternative to choose, such as meet_fetch_google_transcript or meet_start_session.

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

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