whatsapp_check_whatsapp
Check whether a phone number has a WhatsApp account
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| instance_id | Yes | WhatsApp instance ID | |
| phone_number | Yes | Phone number to check |
Check whether a phone number has a WhatsApp account
| Name | Required | Description | Default |
|---|---|---|---|
| instance_id | Yes | WhatsApp instance ID | |
| phone_number | Yes | Phone number to check |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is covered. The description adds only the core purpose, without disclosing return format, rate limits, or whether an instance must be connected.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, front-loaded sentence with no wasted words. It states the tool's purpose immediately and efficiently.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple two-parameter, read-only check with full schema coverage and rich annotations, the description is largely complete. It does not explain the return value, but that is a minor omission given the tool's simplicity.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100%, with both instance_id and phone_number documented in the schema. The description does not add any parameter meaning beyond what the schema provides, so the baseline of 3 is appropriate.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description names a specific verb and resource: checking whether a phone number has a WhatsApp account. It is clearly distinct from sibling tools like get_contact_info or get_contacts, though it does not explicitly differentiate itself from them.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides no guidance on when to use this tool versus alternatives. It does not mention prerequisites such as needing a connected instance, nor does it exclude cases covered by other tools.
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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