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send_whatsapp_verification

send_whatsapp_verification

Send a WhatsApp verification code to the agent's mobile number. Publishing listings requires a verified WhatsApp number — if account_status shows can_publish=false, use this to start verification. A 6-digit code is delivered to the number over WhatsApp; then call verify_whatsapp_code with it.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
phoneYesMobile number in international format, e.g. +595981234567
languageNoMessage language (default es)

TDQS

A4.7/5.0
Behavior5/5

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

Annotations already indicate this is a non-read (write) operation with possible side effects (openWorldHint=true). The description adds that a 6-digit code is delivered over WhatsApp, providing useful behavioral context. No contradictions.

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 three sentences, very concise, and front-loaded with the purpose. Every sentence adds value with no waste.

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

Completeness5/5

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

For a simple action tool with no output schema, the description covers the purpose, usage condition, expected delivery, and next step. It is fully complete given the context.

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%, with both parameters (phone and language) already described in the schema. The description does not add extra meaning beyond what the schema provides, so 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 tool sends a WhatsApp verification code to the agent's mobile number. It distinguishes from sibling tools like verify_whatsapp_code by mentioning the next step.

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

Usage Guidelines5/5

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

The description explicitly states when to use the tool: 'if account_status shows can_publish=false, use this to start verification.' It also names the follow-up tool verify_whatsapp_code.

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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TDQS

A3.9/5.0
Disambiguation4/5

Most tools have distinct purposes covering account management, listings, search, financials, etc. However, `fetch` and `get_listing` both retrieve full listing details, creating potential confusion. Also, `search` and `search_listings` overlap but are differentiated by free-text vs. filtered search.

Naming Consistency5/5

All tool names follow a consistent `verb_noun` pattern in snake_case (e.g., `create_listing`, `publish_listing`, `connect_account`). The naming is predictable and clear throughout.

Tool Count3/5

At 39 tools, the server is quite large for a real estate domain. While it covers many aspects, some tools like `fetch` and `get_listing` are redundant. The count feels excessive and could be streamlined to around 25-30 without losing functionality.

Completeness4/5

The tool set covers listing CRUD, various search types, agent/company profiles, financial calculators, inquiries, saved searches, and account management. Minor gaps exist, such as lack of bulk operations or advanced analytics, but core workflows are well-supported.

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