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WhatsApp MCP Server

WhatsApp MCP Server

by ampcome-mcps
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Remote

check_template_status

Verify WhatsApp message template approval status to ensure compliance before sending business communications.

Instructions

Check the approval status of a WhatsApp template

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "template_name": "<template_name>"
    },
    "name": "check_template_status"
  }
}

Input Schema

NameRequiredDescriptionDefault
template_nameYesName of the template to check
business_account_idNoWhatsApp Business Account ID (optional, uses env var if not provided)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

B3.1/5.0
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It states the action ('check') but doesn't describe what the check entails (e.g., returns approval state like 'pending', 'approved', 'rejected'), potential errors, or any side effects. This is a significant gap for a tool with no structured safety hints.

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 a single, efficient sentence that directly states the tool's purpose without any fluff or redundancy. It's appropriately sized and front-loaded, making it easy for an agent to parse quickly.

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

Completeness3/5

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

Given the tool's moderate complexity (2 parameters, no output schema, no annotations), the description is minimally adequate. It clarifies the purpose but lacks details on behavior, usage context, and return values, which are needed for full agent understanding. It meets the bare minimum but has clear gaps.

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?

The input schema has 100% description coverage, clearly documenting both parameters. The description adds no additional meaning beyond the schema, such as explaining the relationship between template_name and business_account_id or providing examples. Baseline 3 is appropriate since the schema does the heavy lifting.

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's purpose with a specific verb ('check') and resource ('approval status of a WhatsApp template'), making it immediately understandable. However, it doesn't explicitly differentiate from sibling tools like 'list_templates' or 'create_template', which might also involve template status information, so it falls short of a perfect score.

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 provides no guidance on when to use this tool versus alternatives. It doesn't mention sibling tools like 'list_templates' (which might show statuses) or 'send_template_message' (which might require approved templates), nor does it specify prerequisites or exclusions, leaving the agent to infer usage context.

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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