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whatsapp_chat_structure

Group WhatsApp chat messages by day or hour. Filter by contact, date, time, and message types to analyze conversation structure.

Instructions

Mostra estrutura do chat por dia/hora usando mensagens renderizadas no WhatsApp Web.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
contact_nameNo
phoneNo
jidNo
queryNo
message_typesNo
date_fromNo
date_toNo
hour_fromNo
hour_toNo
group_byNoday
limitNo
scroll_pagesNo
max_scroll_pagesNo
browser_modeNo
login_modeNoreuse_session
session_idNodefault

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 carries full burden. It mentions rendered messages, implying a live browser, but does not disclose that scrolling may occur, that the tool modifies page state, or what the output structure is. The output schema exists but is not described.

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 a single sentence with no extra text, which is concise. However, it is too brief to be helpful, sacrificing necessary details for brevity. The Portuguese language may also be a minor barrier for English-centric agents.

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

Completeness1/5

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

For a tool with 16 optional parameters and no schema descriptions, the description is severely incomplete. It does not cover how filtering, grouping, or output works, and the output schema alone cannot compensate for the lack of behavioral and usage context.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%. The description adds no meaning to any of the 16 parameters. Important fields like contact_name, date ranges, and scrolling options are not explained, leaving the agent to rely solely on parameter names and defaults.

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 uses a specific verb ('Mostra' = shows) and resource ('estrutura do chat'), and the mention of grouping by day/hour provides clear purpose. It distinguishes from siblings like search_messages or export_conversation, though 'estrutura' is somewhat vague.

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 usage guidance is provided. The description does not state when to use this tool instead of alternatives (e.g., search_messages), nor does it mention prerequisites like an open browser session, which is implied by 'renderizadas no WhatsApp Web'.

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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