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BACH-AI-Tools

bach-whatsapp_number_validators

check_if_number_is_business_via_post_request

Verify WhatsApp registration and determine if a phone number belongs to a WhatsApp Business account. Submit the number with country code to check business status and active registration.

Instructions

Verify whether a given number is registered on WhatsApp and determine if it belongs to WhatsApp Business. To obtain the status of a particular number, please provide the number along with the corresponding country code.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

With no annotations provided, the description carries full burden but discloses no behavioral traits beyond the core function. It fails to explain what 'POST' implies here (e.g., idempotency, body vs query params, potential side effects) or what happens when a number is not found.

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 two sentences and appropriately front-loaded with the purpose statement. However, the second sentence is problematic given the empty schema, making the instruction misleading rather than merely concise.

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?

Given zero annotations, empty input schema, and no output schema, the description fails to compensate for the missing structured metadata. It does not explain the return format, the POST/GET distinction rationale, or resolve the parameter discrepancy.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The description references parameters ('the number', 'country code') that do not exist in the input schema (0 properties defined). This creates a critical mismatch where the description instructs providing data but the schema suggests no parameters are accepted, leaving the agent confused about actual invocation.

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 verifies WhatsApp registration and determines if a number belongs to WhatsApp Business using specific verbs ('Verify', 'determine'). However, it fails to distinguish this POST variant from the sibling 'check_if_number_is_business_via_get_request'.

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?

The description instructs to 'provide the number along with the corresponding country code' but offers no guidance on when to choose this POST endpoint versus the GET alternative, nor does it mention prerequisites, rate limits, or when not to use the tool.

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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