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Send the notetaker to a call

send_notetaker

Sends the Meetful notetaker to a Zoom, Google Meet, Microsoft Teams or Webex meeting. It joins as a participant and records; when the call ends, the transcript, recap and action items appear in the signed-in person's dashboard. Requires signing in; usage is counted in minutes per month by plan.

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": {
      "url": "<url>"
    },
    "name": "send_notetaker"
  }
}

Input Schema

NameRequiredDescriptionDefault
urlYesThe meeting link.
nameNoWhat the bot is called in the call. Default "Meetful notetaker".
join_atNoISO 8601 time to join, for a meeting later today. Omit to join now.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.8/5.0
Behavior4/5

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

Beyond the annotations (which already declare non-read-only, open-world, non-idempotent, non-destructive), it discloses that a bot actually joins as a participant and records, that artifacts land in the signed-in user's dashboard after the call, and that usage is metered. It stops short of warning that repeated calls spawn duplicate bots or what happens if the link is invalid.

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?

Three sentences, front-loaded with what the tool does and followed by outcome and prerequisites. Every clause carries information: supported platforms, recording behavior, artifact destination, auth requirement, and quota model.

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 3-parameter, non-destructive action tool with annotations present and no output schema, the definition covers behavior, side effects, auth and billing sufficiently. Minor gaps remain around failure modes (invalid or unsupported meeting link) and whether host admission is needed.

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 all three parameters (url, name, join_at) are already documented with defaults and formats. The description adds only the platform scope implied for url and no further meaning for name or join_at, so the baseline of 3 applies.

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?

States a specific verb and resource (send the notetaker) plus the concrete supported platforms (Zoom, Google Meet, Teams, Webex) and its outcome (transcript, recap, action items). It does not differentiate from plausible siblings such as join_meeting or start_meeting, so it falls short of a 5.

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?

It supplies prerequisites (sign-in required) and a cost constraint (minutes per month by plan), which implicitly shape when to use it. However it never names an alternative tool or a when-not-to-use condition, and the join_at phrasing ('for a meeting later today. Omit to join now') is the only situational guidance.

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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