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volkern_send_whatsapp

Send WhatsApp messages to CRM leads directly from your AI agent. This tool enables communication with leads by sending text, images, or documents through integrated WhatsApp functionality.

Instructions

Send a WhatsApp message to a lead. Requires active WhatsApp integration.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
leadIdYesID of the lead to message
mensajeYesMessage content
tipoNoMessage type (default: texto)
Behavior2/5

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

With no annotations provided, the description carries full burden for behavioral disclosure. It mentions the WhatsApp integration requirement but doesn't describe what happens when sending fails, whether messages are queued or sent immediately, rate limits, delivery confirmation, or what the tool returns. For a messaging tool with zero annotation coverage, this leaves significant behavioral gaps.

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 perfectly concise - two short sentences that communicate essential information with zero wasted words. It's front-loaded with the core purpose followed by an important constraint.

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?

For a messaging tool with no annotations and no output schema, the description is insufficient. It doesn't explain what happens after sending (success/failure response, delivery status), doesn't mention authentication requirements beyond the integration note, and provides minimal behavioral context. The tool needs more complete operational guidance.

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 description coverage is 100%, so the schema already documents all parameters thoroughly. The description doesn't add any parameter-specific information beyond what's in the schema. This meets the baseline expectation when schema coverage is complete.

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 action ('Send a WhatsApp message') and target ('to a lead'), making the purpose immediately understandable. However, it doesn't differentiate this tool from potential sibling messaging tools (though none are listed among siblings).

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides one important usage constraint ('Requires active WhatsApp integration'), which gives context about prerequisites. However, it offers no guidance on when to use this vs. other communication methods or when WhatsApp messaging is appropriate vs. inappropriate.

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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