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whatsapp_poll_vote

Send a poll or vote on one. Actions:

  • create: { to, name, options[] (2–12), selectable_count? }

  • vote: { chat_jid, message_id, options[] (the option texts to select) }

[Flattened action: vote]

Bulk support: accepts message_ids for batched execution.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
toNo
nameNo
accountNo
optionsYes
chat_jidNo
message_idNo
message_idsNo
selectable_countNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.8/5.0
Behavior3/5

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

The description adds useful context beyond annotations: it defines create and vote parameter sets and mentions bulk execution via message_ids. However, it leaves key behaviors unexplained, such as how the action is selected (since the input schema has no action field), whether vote replaces or appends a prior vote, and what account-related parameters do. It does not contradict the annotations, but the transparency is incomplete.

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?

The description is compact, front-loaded with the core action, and organized into clear action blocks plus a bulk note. Each line adds information. The '[Flattened action: vote]' line is cryptic but not verbose, so the overall structure is efficient.

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

Completeness2/5

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

Given 8 parameters, no output schema, and minimal annotations, the description is not complete enough for confident invocation. It omits account semantics, action selection, required-field enforcement, and return behavior, and it conflicts with the sibling poll-create tool. This is a complex dual-action tool where the description leaves important operational gaps.

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?

With 0% schema description coverage, the description must carry parameter meaning, and it does explain options (2–12), option texts as selection values, chat_jid/message_id for voting, and message_ids for bulk. Yet it omits the 'account' parameter entirely and fails to clarify how to choose create vs. vote when the schema has no action parameter and only 'options' is required. This is helpful but insufficiently precise.

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

Purpose3/5

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

The description says 'Send a poll or vote on one' and lists create/vote actions, so it names a verb and resource. However, the '[Flattened action: vote]' note conflicts with the create action, and the sibling tool whatsapp_poll_create creates ambiguity about whether this tool should ever be used to create polls. It does not clearly distinguish itself from the sibling create tool.

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 explicit when-to-use or when-not-to-use guidance is given. The description mentions bulk support and action parameter shapes, but does not explain when to choose this tool over whatsapp_poll_create or how a voting flow should start (e.g., needing an existing poll message). No alternatives or exclusions are stated.

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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