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Sealjay

mcp-whatsapp

request_sync

Request WhatsApp servers to backfill historical messages for a chat into local cache. Messages arrive asynchronously and become queryable via list_messages once delivered.

Instructions

Ask WhatsApp servers to backfill historical messages for a chat into the local cache; messages arrive asynchronously and become queryable via list_messages once delivered. No effect on the chat itself or other users. If from_timestamp is omitted, the request anchors on the newest cached message. Returns a plain-text confirmation describing what was requested.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
chat_jidNoWhatsApp JID: individual as `<digits>@s.whatsapp.net` or bare phone digits, group as `<digits>-<timestamp>@g.us`
from_timestampNoISO-8601 UTC timestamp marking the lower bound; if omitted, anchors on the newest cached message in the chat
Behavior4/5

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

Annotations already indicate non-read-only and non-destructive. The description adds that the operation is asynchronous, has no effect on the chat or other users, and returns a plain-text confirmation. It does not cover error conditions or rate limits, but adds meaningful context beyond annotations.

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?

The description is three sentences long, each contributing essential information: main action and async nature, no side effects, and parameter behavior. It is front-loaded and free of redundancy.

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

Completeness4/5

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

Given no output schema, the description states the return type (plain-text confirmation). It covers the async dependency on list_messages. Missing details on error conditions or prerequisites, but adequate for a simple tool with two parameters.

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 description coverage is 100%, and the description mostly reiterates the schema's parameter explanations (e.g., the from_timestamp default behavior). It adds no additional semantic value beyond what the schema already provides.

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

Purpose5/5

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

The description clearly defines the verb 'backfill' and the resource 'historical messages for a chat', and distinguishes it from siblings like list_messages by noting that messages become queryable via that tool. It also states the effect on local cache only, making its purpose precise.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies that this tool is used to populate the cache before querying with list_messages, and explains the behavior of the optional from_timestamp. However, it does not explicitly contrast with other tools or provide when-not-to-use scenarios.

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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