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Get meeting

get_meeting
Read-only

Get a single meeting's full AI summary and topics.

Set `include_transcript=true` to also retrieve the complete transcript text
for direct quotation. Returns an error object if the meeting is not found.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
meeting_idYesThe meeting_id returned by a search/list tool.
include_transcriptNoIf true, also fetch the full meeting transcript (can be long). Default false.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.3/5.0
Behavior4/5

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

Annotations already declare readOnlyHint and openWorldHint. The description adds value by disclosing the error-object behavior for missing meetings and by framing include_transcript as retrieving complete transcript text for direct quotation. This is useful behavioral context beyond the structured annotations.

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 three short sentences, front-loaded with the core purpose, followed by the optional-flag instruction and the error behavior. Every sentence earns its place with 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-meeting retrieval tool with an output schema and read-only annotations, the description covers the core action, the optional behavior, and the error case. The agent has enough information to call the tool correctly without needing return-value details.

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 the schema already fully documents both meeting_id and include_transcript. The description adds a small amount of meaning by tying include_transcript to direct quotation, but it does not substantially extend the parameter semantics beyond 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?

The description states a specific verb and resource: get a single meeting's full AI summary and topics. It also clarifies the optional transcript retrieval, which distinguishes it from meeting search/list siblings and from document-focused tools.

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 clearly implies when to use the tool: after identifying a meeting, to fetch its full AI summary and optionally its transcript. It does not explicitly name alternatives or exclusion cases, but the context is clear enough for an agent to select it appropriately.

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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