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whatsapp-mcp-server

by rukman7

Send WhatsApp Location

whatsapp_send_location

Send a location pin to a WhatsApp user by providing their phone number, latitude, and longitude. Optionally include a name and address for the location.

Instructions

Send a location pin to a WhatsApp user.

Args:

  • to (string): Recipient phone number

  • latitude (number): Latitude (-90 to 90)

  • longitude (number): Longitude (-180 to 180)

  • name (string, optional): Location name

  • address (string, optional): Location address

Returns: Message ID and delivery status.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
toYesRecipient phone number in international format (e.g. '353851234567' or '+353851234567')
nameNoName of the location
addressNoAddress of the location
latitudeYesLatitude of the location
longitudeYesLongitude of the location
response_formatNoOutput format: 'markdown' for human-readable or 'json' for structured datamarkdown
Behavior4/5

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

Annotations already indicate a non-readonly, non-destructive operation. The description adds the return behavior ('Message ID and delivery status'), which is not in annotations or schema, and does not contradict any annotation.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is compact but includes an Args list that duplicates the input schema. This redundancy is slightly wasteful, but the structure is clear and the content is otherwise minimal.

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?

With a complete input schema, clear annotations, and a brief Returns statement, the tool definition covers essential use. Lack of output schema and details on delivery status prevent a higher score.

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?

All six parameters are fully described in the schema (100% coverage). The description's Args section repeats the same information without adding semantic detail beyond what the schema already provides, so the baseline 3 applies.

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 title and description clearly state the action: 'Send a location pin to a WhatsApp user.' This is specific to location sharing and distinct from sibling tools for text, media, contact, etc., which all have different verbs and resources.

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 does not explicitly compare to alternatives or state when not to use this tool, but the clear scope (location pin) implies usage context. It lacks exclusions or conditions but is clear enough for an agent to infer when it is appropriate.

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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