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send_demo_agent

Send Mainroom's open demo agent into a live meeting RIGHT NOW. Give it a Google Meet, Microsoft Teams, Zoom, or Webex meeting URL; the agent appears in the meeting lobby within about a minute and a human in the meeting must admit it. It introduces itself, answers questions by voice, presents slides, and can run a live browser demo. Use when your user wants an AI participant in a meeting that is happening now. No account needed.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
meeting_urlYesFull join URL of the live meeting (https://meet.google.com/..., https://...zoom.us/j/..., https://teams.microsoft.com/l/meetup-join/...).

TDQS

A4.1/5.0
Behavior4/5

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

With no annotations, the description carries the full burden of behavioral disclosure, and it delivers: the agent appears in the lobby within ~a minute, a human must admit it, it introduces itself, answers by voice, presents slides, and can run a live browser demo. Missing are failure/error behavior (invalid URL, not admitted), whether the call is asynchronous, and how the agent is removed — so not a 5, but far above the minimum.

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 front-loaded with the core action, then packs platforms, timing, lobby behavior, capabilities, usage guidance, and the account note into three sentences. It is slightly long but every sentence earns its place; nothing is wasted.

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?

For a single-parameter tool with no output schema and no annotations, the description is largely complete: it covers what happens on invocation, timing, dependency on a human, capabilities, and prerequisites. The notable gaps are the return value/confirmation the caller receives, error cases, and agent lifecycle (how long it stays / how it is removed), which keep it from a 5.

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%, so the baseline is 3. The description reiterates the supported URL platforms (Google Meet, Teams, Zoom, Webex) that the schema examples already encode, adding only the 'live meeting' framing and 'Full join URL' emphasis. It adds no meaningfully new 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 ('Send'), a specific resource ('Mainroom's open demo agent'), and a target ('a live meeting RIGHT NOW'), and enumerates exactly which platforms it supports. This clearly distinguishes it from siblings like about_mainroom, join_meeting_as, and list_agent_templates without needing to open any schema.

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?

It gives an explicit when-to-use condition: 'Use when your user wants an AI participant in a meeting that is happening now.' It also adds a prerequisite note ('No account needed') and the live-meeting requirement, which help an agent decide between this and the meeting-related sibling. It does not explicitly name alternatives or when-not-to-use conditions, but the context is clear enough.

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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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