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Glama
BACH-AI-Tools

Bulk WhatsApp Validator

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault
HOSTNoHost configuration (Not applicable)
PORTNoPort configuration (Not applicable)
API_KEYYesAPI 密钥 (API Key) for Bulk Whatsapp Validator

Instructions

Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.

This server publishes no instructions, or was last inspected before Glama recorded them.

Capabilities

Features and capabilities supported by this server

Protocol revision2025-11-25

CapabilityDetails
tasks
{
  "list": {},
  "cancel": {},
  "requests": {
    "tools": {
      "call": {}
    },
    "prompts": {
      "get": {}
    },
    "resources": {
      "read": {}
    }
  }
}
tools
{
  "listChanged": true
}
prompts
{
  "listChanged": false
}
resources
{
  "subscribe": false,
  "listChanged": false
}
experimental
{}

Tools

Functions exposed to the LLM to take actions

NameDescription
is_a_businessC

Requests to this endpoint will return true if the number is a Whatsapp for Business account, or false if it's not.

validate_up_to_10B

Enter an array of up to 10 numbers to validate.

validate_up_to_100C

Enter an array of up to 100 numbers to validate.

validate_single_whatsapp_numberB

Enter a single phone number you want to validate.

about_infoC

This endpoint will return the About state of the WA number on the query.

validate_up_to_1000C

Enter an array of up to 1000 numbers to validate.

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

TDQS

B3/5.0

Scored across 6 tools

Disambiguation2/5

Multiple tools have overlapping purposes that could cause confusion. The three validation tools (validate_single_whatsapp_number, validate_up_to_10, validate_up_to_100, validate_up_to_1000) all perform the same core validation function with only batch size differences, while about_info and is_a_business provide distinct metadata. An agent might struggle to choose between the validation tools for a single number, or might use multiple when one would suffice.

Naming Consistency3/5

The naming conventions are mixed but still readable. The validation tools follow a consistent 'validate_' prefix with descriptive suffixes, while about_info and is_a_business use different patterns (noun_verb vs. question_format). There's no single consistent pattern across all tools, but the names are generally clear and descriptive.

Tool Count3/5

With 6 tools, the count is reasonable but feels inefficiently structured. The server's purpose is WhatsApp number validation and metadata retrieval, but having four separate validation tools for different batch sizes creates redundancy. A more streamlined approach with parameters for batch size would be more appropriate, making the current count feel borderline heavy for the scope.

Completeness4/5

The tool surface covers the core functionality well for WhatsApp number validation and basic metadata. It provides validation at different scales and returns business status and about information. The main gap is the lack of a unified validation tool with batch size as a parameter, but agents can work around this by selecting the appropriate batch tool. No major missing operations are apparent for the stated purpose.

Maintenance

ActivityInactive
ResponsivenessNo issues