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Sealjay

mcp-whatsapp

set_privacy_setting

Idempotent

Change WhatsApp privacy settings like read receipts, last seen, or who can add you to groups. Takes effect immediately; revert by resetting to previous value.

Instructions

Change a single WhatsApp privacy knob (read-receipts, last-seen, online, group-add, etc.) for the paired account; takes effect immediately and may change who can see your activity or contact you. Reversible by calling again with the previous value (capture it via get_privacy_settings first). Not every name/value combination is valid — WhatsApp rejects invalid combinations server-side. Returns a JSON document echoing the updated settings.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesprivacy knob to change; one of the WhatsApp setting names (e.g. `last`, `readreceipts`, `groupadd`, `online`)
valueYesnew value; one of the WhatsApp privacy values (e.g. `all`, `contacts`, `none`, `match_last_seen`)
Behavior4/5

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

Beyond annotations (idempotentHint true, destructiveHint false), description reveals immediate effect, potential visibility changes, and server-side validation, adding meaningful behavioral context.

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?

Three focused sentences: action+effect, practical tip, and validity warning. No filler; front-loaded with core purpose.

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?

Covers purpose, effects, parameter constraints, reversibility, and return format. Adequate for a two-parameter mutation tool with no output schema.

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?

With 100% schema coverage, description adds value by warning about invalid name/value combinations and guiding users to capture previous values, supplementing the schema's enum listings.

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 it changes a single WhatsApp privacy knob, provides concrete examples (read-receipts, last-seen, etc.), and distinguishes from siblings like get_privacy_settings or block_contact.

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?

Advises capturing current value via get_privacy_settings for reversibility and warns about invalid server-side combinations, giving clear context though not explicitly stating when not to use.

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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