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Sealjay

mcp-whatsapp

send_poll

Send a WhatsApp poll message with 2 to 32 options, supporting single or multi-select. Recipients see a votable card; results are tallied locally.

Instructions

Send a new WhatsApp poll message with 2 to 32 options; recipients see a votable poll card and an outgoing row plus poll metadata is persisted locally so votes can be tallied. Reversible via delete_message (revoke). Use send_poll_vote to cast votes and get_poll_results to read tallies. Returns a JSON object {Success, Message, ID} where ID is the poll message ID on success.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
optionsYespoll option labels; must contain between 2 and 32 entries
questionYespoll question text shown above the options
recipientYesSend target: digits only (E.164 without `+`, no spaces or punctuation); or `<digits>@s.whatsapp.net`; or group `<digits>-<timestamp>@g.us`
selectable_countNohow many options each voter may pick; 1 = single-choice (default), higher = multi-select up to this cap
Behavior4/5

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

Discloses that poll metadata is persisted locally, recipients see a votable card, and the message is reversible via delete_message; adds value 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.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two sentences with all key info, though first sentence is dense; could be slightly more structured but still efficient.

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?

Covers behavior, reversibility, return format; no output schema, but description compensates; parameter details are fully in schema.

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%; description adds minimal extra meaning (e.g., recipients see a poll card) but mostly restates schema details.

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 states it sends a WhatsApp poll message with 2-32 options, distinguishing it from siblings like send_poll_vote and get_poll_results.

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?

Provides explicit guidance on when to use this tool and mentions alternatives for voting and results; lacks explicit 'when not to use' but context is clear.

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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