whatsapp_read_poll
Read WhatsApp poll results and retrieve vote counts for each answer option.
Instructions
Reads WhatsApp poll results.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Read WhatsApp poll results and retrieve vote counts for each answer option.
Reads WhatsApp poll results.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden, but it only says 'Reads' without explaining output format, behavior when no polls exist, or any side effects. This is essentially just the verb, providing no meaningful behavioral disclosure.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single concise sentence with no fluff, but it is under-specified for a tool that could benefit from more context. It is not a tautology, but it is minimal.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given no annotations, no output schema, and no parameters, the description is insufficient for an agent to understand how to invoke the tool correctly. It doesn't specify how a poll is identified (e.g., current chat, most recent poll) or what results are returned, relying on implicit context not provided.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The tool has zero parameters, so the empty schema is already complete. The description adds no parameter details, but none are needed since there are none to explain.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the action (Reads) and the resource (WhatsApp poll results), distinguishing it from sibling tools like whatsapp_read_messages and whatsapp_send_poll. It is specific and unambiguous.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is given on when to use this tool versus alternatives such as whatsapp_read_messages. It doesn't mention prerequisites (e.g., requiring a WhatsApp connection) or which poll to read, leaving the agent without usage context.
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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