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Sealjay

mcp-whatsapp

by Sealjay

request_sync

Idempotent

Request WhatsApp servers to asynchronously backfill historical messages for a chat into the local cache, making them queryable.

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?

Adds value beyond annotations by describing the async delivery, lack of side effects on the chat, and the plain-text response. No contradictions with 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?

Two sentences with no wasted words; purpose is front-loaded, followed by key details. Excellent structure.

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

Completeness5/5

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

All relevant aspects covered: purpose, behavior, parameter semantics, output format, and integration with sibling tool list_messages. No gaps given the simple input schema and annotations.

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

Parameters4/5

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

Schema already covers 100% of parameters, but description adds meaningful behavior for from_timestamp (default behavior when omitted) beyond the schema's syntactic description.

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?

Description clearly states the verb ('Ask to backfill') and resource ('historical messages for a chat'), distinguishes from sibling tools by mentioning that messages become queryable via list_messages. No ambiguity.

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

Usage Guidelines3/5

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

Provides context for when to omit from_timestamp, but does not explicitly state when to use this tool versus alternatives like list_messages (which retrieves already synced messages) or any prerequisites.

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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