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dudu1111685

WAHA MCP Server

by dudu1111685

waha_react_to_message

Add or remove emoji reactions to WhatsApp messages to express responses and manage interactions directly through AI assistants.

Instructions

React to a message with an emoji

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
messageIdYesMessage ID to react to
reactionYesEmoji reaction (e.g. "❤️", "👍"). Empty string to remove reaction.
sessionNoSession namedefault
Behavior2/5

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

No annotations are provided, so the description carries the full burden. It mentions reacting with an emoji and implies mutation, but lacks details on permissions, rate limits, error conditions, or what happens if the reaction already exists. For a mutation tool with zero annotation coverage, this is insufficient.

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, clear sentence with zero waste. It's front-loaded with the core action and efficiently conveys the essential function without unnecessary elaboration.

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 mutation tool with no annotations and no output schema, the description is inadequate. It doesn't cover behavioral aspects like side effects, error handling, or return values, leaving significant gaps for an AI agent to understand how to use it correctly.

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?

Schema description coverage is 100%, so the schema fully documents all parameters. The description adds minimal value beyond the schema, as it doesn't explain parameter interactions or provide examples beyond what's in the schema descriptions. Baseline 3 is appropriate when 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 action ('React to a message') and the resource ('a message'), specifying it's done with an emoji. It distinguishes from siblings like 'waha_star_message' or 'waha_edit_message' by focusing on emoji reactions. However, it doesn't explicitly mention WhatsApp context, which is implied by the 'waha_' prefix.

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?

No guidance is provided on when to use this tool versus alternatives like 'waha_star_message' or 'waha_edit_message', nor any prerequisites such as needing an active session. The description only states what it does, not when it's 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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