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dm_message_react

Idempotent

Add a reaction from your business account to a message. Facebook Messenger, Instagram Direct and WhatsApp (not Telegram or Bluesky). On WhatsApp pass emoji — any unicode emoji — and reaction names are ignored. A second react replaces the previous one.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
emojiNoUnicode emoji. Forwarded to Instagram; on Facebook Messenger it overrides 'reaction' as the literal value sent; required on WhatsApp.
reactionNoNamed reaction, defaults to 'love'. On Instagram only 'love' is accepted; on Facebook Messenger common names (love, like, dislike, smile, wow, sad, angry) are auto-translated to emoji.
message_idYesMessage hashid OR external_id

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.4/5.0
Behavior4/5

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

Annotations already declare idempotentHint=true and destructiveHint=false, and the description explains the replace-on-second-react semantics that back the idempotency claim, plus platform availability. It doesn't address auth/permission requirements beyond 'your business account', but adds genuine context over the structured fields.

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?

Three tight sentences, front-loaded with the action, then platform scope, then per-platform parameter rule, then the replace behavior. No filler; every sentence carries information.

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 mutation tool with full annotations and no output schema, the description covers platform scope, parameter rules, and the idempotent replace behavior. Remaining gaps (success/return shape, error cases) are minor against the annotation coverage.

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?

Schema coverage is 100%, so baseline is 3, but the description adds cross-parameter behavior the schema doesn't: WhatsApp ignores 'reaction' and requires 'emoji', and a second react replaces the prior one. That is meaningful semantic value beyond the per-field descriptions.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb+resource ('Add a reaction from your business account to a message') and scopes it to three named platforms with explicit exclusions (not Telegram or Bluesky). Together with the sibling dm_message_unreact, the write direction is unambiguous.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Gives platform-conditional guidance: on WhatsApp pass emoji and ignore reaction names, while Instagram/Messenger use named reactions. It does not explicitly route the agent to dm_message_unreact or state prerequisites, but the platform context is clear enough to invoke correctly.

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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