Skip to main content
Glama
victor-halla

wwebjs-mcp

by victor-halla

chat_sendStateTyping

Simulate the typing indicator in a WhatsApp chat for 25 seconds, showing the contact that a message is being composed.

Instructions

[Chat] Simulate typing in chat. Simulate typing in chat. This will last for 25 seconds.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
chatIdNoUnique WhatsApp ID for the given chat (either group or personal)
sessionIdYesUnique identifier for the session (alphanumeric and - allowed)
Behavior3/5

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

The description adds one behavioral trait: 'This will last for 25 seconds,' which informs the agent that the typing state automatically ends after that duration. However, with no annotations, the description carries full burden and does not disclose side effects, prerequisites, or whether the simulation is continuous or a single event. Some value is added, but major gaps remain.

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

Conciseness2/5

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

The description is extremely short but contains a verbatim repetition of 'Simulate typing in chat' twice, which wastes the agent's attention. It should have been a single sentence. This is a clear structural flaw and not an example of efficient conciseness.

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

Completeness2/5

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

For a simple action tool with no annotations and no output schema, the description gives the core action and duration but omits critical context: when to use it over alternatives, whether a session/chat is required, and what happens if the tool fails. The presence of sibling tools like 'chat_sendStateRecording' makes this lack of differentiation a notable gap.

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?

Both chatId and sessionId have clear descriptions in the input schema (100% coverage). The tool description does not add any parameter-specific information, so the baseline of 3 is appropriate because the schema already handles parameter meaning.

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 'Simulate typing in chat' clearly states a specific action (simulate typing) on a specific resource (chat). It distinguishes from sibling tools like 'chat_sendStateRecording' by naming the typing indicator state. However, the verb 'simulate' is slightly ambiguous as it could be interpreted as a local-only effect rather than sending a real typing indicator to others.

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 sibling tool 'chat_sendStateRecording' performs a similar state-sending action, but the description does not clarify that typing is for typing indicators and recording is for recording indicators. This absence makes it difficult for an agent to choose correctly.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/victor-halla/wwebjs-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server