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pauloFroes

mcp-evolution-api

by pauloFroes

Send Text Message

send_text

Send a WhatsApp text message to a phone number through Evolution API. Optionally simulate typing delay and enable link previews.

Instructions

Send a WhatsApp text message to a phone number via Evolution API.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
textYesMessage text content
delayNoTyping simulation delay in milliseconds before sending
numberYesRecipient phone number with country code, no + (e.g. 5538999999999)
link_previewNoEnable link preview in message (default: true)
Behavior3/5

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

Annotations already indicate a non-read-only, non-destructive operation with open-world side effects. The description adds no additional behavioral context beyond the obvious act of sending, such as rate limits, delivery guarantees, or error behavior. This meets the baseline but doesn't enrich the agent's understanding.

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?

The description is a single, clear sentence with no wasted words. It front-loads the action and resource, making it immediately understandable.

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?

For a straightforward send tool, the description combined with rich schema annotations gives a clear picture. However, without an output schema, it doesn't explain what the response contains, and it lacks explicit usage guidance. Still, the tool's simplicity and available annotations make it reasonably complete.

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 covers all parameters with descriptions (100% coverage). The tool description adds no extra meaning beyond what the schema already provides, so a baseline score of 3 is appropriate.

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 the action ('Send'), the resource ('a WhatsApp text message'), and the destination ('to a phone number'). It distinguishes itself from sibling tools like send_audio or send_media by specifying 'text message'.

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?

The description clearly implies this tool is for sending text messages, which differentiates it from media and poll siblings. It provides enough context for an agent to know when to use it, though it lacks explicit exclusions or alternative recommendations.

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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