Google Calendar and Meet MCP Server

meet_v2_get_conference_record

Retrieve specific conference record details from Google Meet, including meeting data, transcripts, recordings, and attendance information for analysis and documentation.

Instructions

[Meet API v2 GA] Get details of a specific conference record

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "conference_record_name": "<conference_record_name>"
    },
    "name": "meet_v2_get_conference_record"
  }
}

Input Schema

Name	Required	Description	Default
`conference_record_name`	Yes	Name of the conference record (conferenceRecords/{record_id})

Schema Changelog

Changes observed during successful MCP inspections.

First observedv1.0.0Jan 6, 2026

TDQS

C2.9/5.0

Behavior2/5

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

With no annotations provided, the description carries full burden but offers minimal behavioral insight. It implies a read-only operation ('Get details') but doesn't disclose error conditions, authentication needs, rate limits, or what 'details' include (e.g., metadata, participants, recordings). For a tool with zero annotation coverage, this is inadequate transparency.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, efficient sentence that front-loads the core action ('Get details'). However, the inclusion of '[Meet API v2 GA]' is redundant with the tool name prefix 'meet_v2_', slightly reducing conciseness, though it doesn't significantly impact readability.

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?

Given the lack of annotations and output schema, the description is incomplete for a tool that retrieves data. It doesn't explain what 'details' entail (e.g., structure, fields, or links to related resources like participants), leaving the agent uncertain about the return value and overall tool behavior in context.

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 input schema fully documents the single parameter 'conference_record_name'. The description adds no additional parameter semantics beyond what's in the schema (e.g., format examples, validation rules, or how to obtain the name), resulting in a baseline score of 3.

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 clearly states the verb ('Get details') and resource ('specific conference record'), making the purpose evident. However, it doesn't explicitly differentiate from sibling tools like 'meet_v2_list_conference_records' (which lists multiple records) or 'meet_v2_get_participant' (which gets participant details), leaving some ambiguity in sibling differentiation.

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

Usage Guidelines2/5

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

The description provides no guidance on when to use this tool versus alternatives. It doesn't mention prerequisites (e.g., needing a conference record name), contrast with list operations, or specify use cases like retrieving metadata for a known record, leaving the agent to infer usage from context alone.

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