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Read one recorded meeting in full

get_meeting
Read-onlyIdempotent

Read one recorded meeting in full: AI notes, action items, participants, and the speaker-labeled transcript. Takes an id from search_meetings or list_meetings.

Use when you already have a meeting id and need the notes or quotes. Do not use to find a meeting by topic (search_meetings) or to page the archive (list_meetings). ChatGPT clients call the same read as fetch.

Does not create, edit, or delete meetings. Unknown ids return an error, not an empty meeting.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesMeeting id from search_meetings or list_meetings, e.g. "mtg-1786560198190".

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.5/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint, and the description reinforces this with 'Does not create, edit, or delete meetings.' It adds useful behavior beyond annotations by specifying that unknown ids return an error rather than an empty meeting.

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?

The description is compact and front-loaded, with the core purpose in the first sentence, usage guidance in the second, and behavioral disclaimers in the third. Every sentence earns its place and there is no redundant 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 single-parameter read tool with no output schema, the description covers what is returned, where the id comes from, when to use it, when not to use it, and error behavior. Nothing an agent needs in order to call it correctly is missing.

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% and already documents the id parameter with an example. The tool description adds context about where the id comes from and error behavior on unknown ids, but the essential semantic meaning of the parameter is already covered by the schema.

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?

Description begins with a specific verb and resource: 'Read one recorded meeting in full' and enumerates the contents (AI notes, action items, participants, speaker-labeled transcript). It also distinguishes itself from sibling tools by stating it takes an id from search_meetings or list_meetings.

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?

Explicitly states when to use the tool: 'Use when you already have a meeting id and need the notes or quotes.' It also gives clear exclusions: do not use to find by topic (search_meetings) or page the archive (list_meetings), and notes the fetch alias for ChatGPT clients.

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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