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get_busiest_hours

Identify peak hours when customers send the most messages. Analyze data over custom periods or filter by phone for detailed insights.

Instructions

Horas mas activas — Analiza a que horas del dia se reciben mas mensajes de clientes [query]

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
daysNoDias a analizar (default 7)
periodNoPeriodo: last_7_days, last_30_days, this_month, last_month, last_90_days, all_time, custom
dateNoFecha de referencia YYYY-MM-DD
phoneNoFiltrar por telefono de cliente
Behavior2/5

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

With no annotations, the description must fully disclose behavior. It only says 'analiza' (analyzes) and doesn't state if read-only, side effects, or performance impact. Minimal behavioral info.

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?

Very concise, one sentence with clear title. Could benefit from structured format like bullets, but no waste.

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?

No output schema, and description doesn't explain return format (e.g., list of hours with counts). For an analytics tool, output details are important.

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 each parameter is described in the schema. The description adds no additional meaning beyond the schema definitions.

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 tool analyzes peak hours for customer messages, with a specific verb and resource. While distinct from siblings like get_analytics, it lacks explicit differentiation from other analytics tools.

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 instead of alternatives. Does not mention context, prerequisites, or exclusions.

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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