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luma_send_event_email_draft

Draft a marketing email for event attendees. Supports markdown body and targeting RSVP segments such as going, waitlist, or declined.

Instructions

Stage an email blast to event attendees. Body markdown supported.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
extraNoForward-compat additional fields.
body_mdYesMarkdown body. Scrubbed for prompt injection before send.
subjectYesEmail subject line.
event_idYesLuma event api_id.
target_audienceNoWhich segment. "going" (registered + approved), "all" (all RSVPs), "waitlist", "declined". Default "going".going

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

With no annotations, the description should disclose behavioral traits like reversibility, permissions, or that this is a draft. Only mentions markdown support. Insufficient for a staged action.

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?

Two short, direct sentences with no wasted words. Efficiently communicates core purpose.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given high schema coverage and output schema presence, the description is adequate but lacks behavioral context needed for a staging action. Could mention next steps (e.g., call confirm to send).

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 description adds minimal value beyond schema. It reinforces markdown support for body_md, but doesn't clarify parameter formats or constraints.

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 action ('Stage an email blast') and target ('event attendees'), with a note on markdown support. It differentiates from the confirm sibling by using 'Stage', but doesn't explicitly state it is a draft step that requires confirmation.

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?

No guidance on when to use this tool versus alternatives, such as the confirm step or other email-related tools. Lacks when-not-to-use and prerequisites.

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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