Skip to main content
Glama

join_meeting_as

EMBODIMENT: join a live meeting AS YOURSELF (or as a persona you define). This gives an AI agent a meeting body — a named participant with a camera tile and a voice that joins the call, speaks when addressed, presents slides, shows images, and reads/posts meeting chat. You supply the name and the persona instructions (who you are, what you're there to do, what you know); Mainroom supplies the body. The participant appears in the meeting lobby within ~a minute and a human must admit it. Ephemeral: no account, no memory, nothing emailed afterwards. Use when your user says 'join my call', 'be in the meeting', or you need to talk to people in a live meeting to complete a task.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
introNoOptional one-paragraph welcome posted into the meeting chat when you join (say who you are and why you're there).
voiceNoTTS voice (default alloy).
agent_nameYesThe display name for your meeting body (e.g. 'Claude', 'Atlas — Research Agent'). Shown on the tile and the roster.
meeting_urlYesFull join URL of the live meeting (Google Meet, Zoom, Microsoft Teams, or Webex).
instructionsYesPersona + mission, second person ('You are... You're joining this call to...'). Include what you know and how to behave. Up to 2000 chars.

TDQS

A4.3/5.0
Behavior5/5

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

With no annotations provided, the description carries the full behavioral burden and meets it thoroughly. It discloses the division of labor (agent supplies name/persona, Mainroom supplies the body), latency ('appears in the meeting lobby within ~a minute'), the human-admission requirement, and ephemerality (no account, no memory, nothing emailed afterwards) — including in-meeting capabilities and limitations.

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 core purpose is front-loaded via the 'EMBODIMENT:' label, and the description flows logically: purpose, capabilities, logistics, state behavior, usage triggers. It is information-dense with no wasted sentences, though the opening 'AS YOURSELF (or as a persona you define)' is mildly redundant with the later 'You supply the name and the persona instructions.'

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 no output schema, the description covers the operational contract well: what the agent can do in the meeting, how admission works, timing, and what persists. The only gap is the lack of any statement about what the function returns synchronously (success indication, error on rejection), which is relevant since no output schema exists to fill that in.

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 coverage is 100% and the schema already documents all five parameters with meaningful descriptions (e.g., display name, persona instructions, intro message, voice enum, meeting URL). The description adds mild framing — 'You supply the name and the persona instructions' — that reinforces agent_name and instructions, but doesn't substantially go 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 opens with a specific verb+resource ('join a live meeting AS YOURSELF') and expands into concrete capabilities: a camera tile, a voice, presenting slides, showing images, reading/posting chat. It clearly differentiates from siblings about_mainroom, list_agent_templates, and send_demo_agent, which are informational/list/send operations rather than live participation.

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?

Provides explicit trigger phrases ('join my call', 'be in the meeting') and a task-based condition ('you need to talk to people in a live meeting to complete a task'). It does not name alternative tools or state when-not-to-use scenarios, but the usage context is unambiguous and operationally useful.

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

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

TDQS

A3.9/5.0
Disambiguation4/5

Most tools have clearly distinct purposes: informational, custom embodied join, template listing, and demo agent dispatch. The only potential confusion is between join_meeting_as and send_demo_agent, since both join live meetings as AI participants, but the custom persona versus fixed demo distinction is explained.

Naming Consistency3/5

All names are lowercase snake_case and mostly verb-led, but the pattern is inconsistent: about_mainroom uses a noun-style prefix, join_meeting_as is a full phrase, while list_agent_templates and send_demo_agent follow verb_noun. Readable overall, but the naming conventions are mixed.

Tool Count4/5

Four tools is a reasonable, focused set for a meeting-agents server. The count is slightly on the lean side but each tool contributes a distinct capability and no tool feels redundant.

Completeness4/5

The core workflows are covered: joining as a custom persona, dispatching a demo agent, listing available templates, and understanding the product. Minor gaps exist, such as status checking or leaving a meeting, but the ephemeral nature of the domain makes these less critical.

Resources