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Evolution API MCP Server

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evolution_message_send_list

Send an interactive list message with sections and rows to a WhatsApp number. Users select from predefined options via a button.

Instructions

Send an interactive list message.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
delayNoDelay in milliseconds before sending.
titleYesList title.
numberYesRecipient phone number (digits, country code) or full WhatsApp JID.
quotedNoMessage to quote/reply to.
valuesYesList sections and rows.
instanceNoWhatsApp instance name. Optional if EVOLUTION_DEFAULT_INSTANCE is configured.
mentionedNoList of JIDs to mention, e.g. ['5215550123@s.whatsapp.net'].
buttonTextYesText on the button that opens the list.
footerTextNoFooter text.
descriptionYesList description.
mentionsEveryOneNoMention all group participants.
Behavior1/5

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

With no annotations, the description carries full responsibility for behavioral disclosure. It only states the action without mentioning required permissions, limits (e.g., maximum rows), or behavior on unsupported clients. This is a significant gap.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

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

The description is a single concise sentence, but it is excessively minimal. It front-loads the core action but omits crucial context. It earns a 3 for adequate conciseness despite lacking substance.

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

Completeness1/5

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

Given the tool has 11 parameters with nested objects and no output schema, the terse description fails to provide any contextual completeness. The agent lacks behavioral context, expected output, or practical usage examples.

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?

The input schema has 100% coverage with descriptions for each parameter. The description adds no additional parameter meaning, so it meets the baseline of 3 for high schema coverage.

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

Purpose4/5

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

The description clearly states the tool sends an interactive list message, distinguishing it from other message types like text, audio, or buttons. However, it could be more explicit about the 'list' format being a selectable options message.

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 guidance is provided on when to use this tool versus alternatives like send_buttons, send_text, or other message types. The agent receives no context about appropriate scenarios or 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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