Skip to main content
Glama
speakai

Speak AI MCP Server

Official
by speakai

List Meeting Events

list_meeting_events
Read-onlyIdempotent

Retrieve meeting assistant events by platform, status, and pagination to manage your recordings and transcripts.

Instructions

List scheduled or completed meeting assistant events with filtering and pagination.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pageNoPage number (0-based, default: 0)
pageSizeNoResults per page (default: 20, max: 500)
platformTypeNoFilter by platform. Allowed values: zoom, googleMeet, microsoftTeams, webex. Comma-separate for multiple. Must match these exact strings — server validates strictly.
meetingStatusNoFilter by status (e.g. scheduled, completed, cancelled)

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataNoResponse payload from the Speak AI API
Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false. The description adds mention of filtering and pagination, but does not disclose additional behavioral traits like rate limits, data freshness, or authorization requirements. It provides adequate context beyond 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 a single, front-loaded sentence that efficiently conveys the tool's purpose without unnecessary words. Every part earns its place.

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?

Given that an output schema exists and annotations cover safety, the description is mostly complete. It covers the core purpose and mentions key features. However, it could clarify what constitutes a 'meeting assistant event' or specify the output format, but it's not severely lacking.

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 baseline is 3. The description mentions filtering and pagination but does not add further meaning beyond the schema's parameter descriptions. No additional semantic guidance is provided.

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 clearly states the verb 'List' and the resource 'meeting assistant events', and specifies the scope as 'scheduled or completed'. It also mentions 'filtering and pagination', which distinguishes it from sibling tools like schedule_meeting_event or remove_assistant_from_meeting.

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 description implies usage for listing meeting events but does not provide explicit guidance on when to use this tool versus alternatives, such as when searching for automations or other resources. No when-not-to-use or alternative references are given.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/speakai/speakai-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server