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get_whatsapp_response_time_stats

Analyze WhatsApp response time statistics by filtering by session, phone, or direction. Get insights into hourly distribution of incoming and outgoing messages over a specified number of days.

Instructions

Distribucion horaria de mensajes WhatsApp — Muestra la distribucion horaria de mensajes entrantes y salientes de WhatsApp [query]

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
daysNoDias a analizar (default 7)
session_idNoID de la sesión WhatsApp
directionNoFiltrar por direccion
phoneNoFiltrar por telefono
Behavior2/5

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

No annotations provided. The description does not disclose whether the tool is read-only, destructive, or any behavioral traits. For a stats tool, it is likely read-only, but it is not stated.

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 very concise—one line. It front-loads the key idea but lacks structure like usage examples or return format.

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 exists, and the description does not explain what the response contains (e.g., hourly counts, averages). A stats tool should describe its output to be complete.

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% with basic descriptions. The description does not add significant meaning beyond what the schema already provides, meeting the baseline for high coverage.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose2/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states 'Distribucion horaria de mensajes WhatsApp' (hourly distribution) but the tool name says 'response_time_stats'. This mismatch between name and description creates confusion about what the tool actually does.

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 the many sibling WhatsApp tools like get_whatsapp_message_logs or get_whatsapp_conversation_history. No context for selection.

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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