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Get the meeting transcript

get_transcript

Retrieve a live or finished meeting transcript as plain text, with each caption formatted as speaker: words and bot speech labeled separately.

Instructions

Returns the transcript as plain text, one "speaker: words" line per caption. Lines the bot itself spoke (say) are kept and labelled " (bot): words". Works while the meeting is live and after end_meeting.

Input Schema

NameRequiredDescriptionDefault
meeting_idYesThe meeting_id of the room (from create_broadcast or join_broadcast).

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.3

TDQS

A4/5.0
Behavior4/5

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

With no annotations, the description carries the full burden and does a good job: it discloses the return shape (one "speaker: words" line per caption), the bot-line labeling convention, and the availability lifetime spanning live and post-end_meeting. It omits any mention of size limits, truncation, or pagination for long meetings, which is the remaining behavioral gap.

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?

Three short sentences, each carrying distinct information: return format, bot-line special case, and availability window. Nothing is padded and the most important fact (what you get back) leads.

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 single-parameter read tool with no output schema, the description adequately covers what is returned and when it can be called. The one missing piece is whether very long transcripts are truncated or paged, which matters for a whole-transcript fetch.

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?

Only one parameter exists and its schema description is fully covered at 100%, including a pointer to create_broadcast/join_broadcast for obtaining the id. The description adds no parameter-level detail beyond that, so the baseline 3 applies.

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?

States a specific verb and resource ("Returns the transcript") plus the exact serialization format, which is unusually concrete. It does not, however, distinguish itself from the sibling tail_transcript, so an agent must infer that this one returns the whole transcript rather than streaming new lines.

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?

"Works while the meeting is live and after end_meeting" gives a clear validity window that tells the agent when the call will succeed, including after teardown. It stops short of naming tail_transcript as the alternative for incremental reads, so the selection versus that sibling is left implicit.

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