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Glama
eurogas-bbl

whatsapp-mcp

by eurogas-bbl

Get State

get_state

Check the WhatsApp connection state to identify whether the number is authorized, requires a new QR code scan, or is blocked. Use this to verify if the instance is ready to send messages.

Instructions

Состояние инстанса GREEN-API.

authorized — номер подключён и всё работает; notAuthorized — нужно заново отсканировать QR в консоли GREEN-API; blocked — номер забанен.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv0.1.0

TDQS

A3.5/5.0
Behavior3/5

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

With no annotations, the description carries the full burden. It does disclose meaningful behavioral information by defining each state, including that blocked means banned and notAuthorized requires re-scanning a QR code. However, it does not explicitly state that this is a read-only/no-side-effect operation or describe the return format.

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 compact and well structured: a short purpose statement followed by a clear list of possible state values and their meanings. Every sentence adds useful information without unnecessary padding.

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?

For a simple zero-parameter status-check tool with no output schema, the description adequately explains the three possible outcomes. It could be even more explicit about the expected return representation, but the state values and their implications are sufficiently covered.

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

Parameters4/5

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

The tool has zero parameters, so the baseline is 4. No parameter documentation is needed, and the description does not introduce any parameter-related ambiguity.

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 that the tool returns the status of a GREEN-API instance and enumerates the possible state values. It does not explicitly differentiate from sibling tools, but the resource and verb are clear.

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?

There is no guidance on when to use this tool versus alternatives. The description explains what each returned state means but does not say when a caller should check state, such as before sending messages or after a connection failure.

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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