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list_email_drafts

List email drafts pending send. Filter by account, sender, attachments, tags, assigned agent, date range, and search subject or content.

Instructions

Listar borradores de email — Muestra los borradores de email pendientes de envio. [query]

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
filterYesDebe ser 'drafts'
account_idNoFiltrar por cuenta de email
pageNoPagina para paginacion
limitNoLimite de resultados por pagina
searchNoBuscar en asunto y contenido
from_filterNoFiltrar por remitente
has_attachmentsNoFiltrar por borradores con adjuntos
tagNoFiltrar por etiqueta
assignedNoFiltrar por agente asignado
date_fromNoFecha inicio del filtro
date_toNoFecha fin del filtro
Behavior2/5

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

With no annotations, the description must convey behavioral traits. It only states it 'shows drafts pending sending' but omits permissions, response format, pagination behavior, or any other operational details. Minimal transparency.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is very concise (one line) but includes a distracting '[query]' placeholder. It could be more structured without sacrificing brevity.

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

Completeness2/5

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

Given 11 parameters and no output schema, the description should provide more context about parameter usage, response structure, or filtering behavior. It fails to fill gaps left by the schema, leaving the agent with insufficient information.

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?

Input schema covers 100% of parameters with descriptions, so the baseline is 3. The tool description adds no extra meaning beyond the schema; it merely restates the purpose.

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 it lists email drafts pending sending, providing a specific verb and resource. However, it does not differentiate from sibling tools like list_email_threads or list_email_accounts, and the '[query]' placeholder is confusing.

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. It only describes the action without context or exclusions, leaving the agent to infer usage without any decision support.

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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