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react_to_message

Add or remove an emoji reaction on a Signal message in a direct or group conversation. React to acknowledge a specific message without sending a text reply.

Instructions

Add or remove an emoji reaction on a Signal message in a direct or group conversation. target_author is the phone number of the person who sent the original message. target_timestamp is the sent_at timestamp of that message (from get_conversation). Supply recipient for a DM conversation or group_id for a group conversation — exactly one is required. Each account can have at most one reaction per message; calling again with a different emoji replaces the previous one. Set remove=true to retract an existing reaction without adding a new one (emoji is still required as the key). Use when you want to react to or acknowledge a specific message without sending a reply. Do NOT use to send a text reply — use send_message or send_group_message for that.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
target_authorYesPhone number of the message author
target_timestampYesTimestamp of the message to react to
emojiYesEmoji to react with (e.g. '👍')
recipientNoPhone number for DM reactions
group_idNoGroup ID for group reactions
removeNoRemove an existing reaction (default false)
Behavior5/5

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

Discloses that each account can have at most one reaction per message, calling again replaces the previous one, and setting remove=true retracts an existing reaction. No annotations provided, so full burden is on description.

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?

Single paragraph starting with main action, then parameter rules, then usage guidance. Every sentence adds value with no redundancy.

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

Completeness5/5

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

Given the complexity of the tool (6 parameters, 3 required, conditional logic), the description covers all behavioral aspects, parameter constraints, and usage context. No output schema, but description is self-contained.

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

Parameters5/5

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

Adds meaning beyond schema by explaining that exactly one of recipient/group_id is required, that emoji is still required for removal, and clarifies the roles of target_author and target_timestamp. Schema coverage is 100%, but description adds significant context.

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?

The description uses specific verbs 'add or remove' and resource 'emoji reaction', and explicitly distinguishes from sending text replies by naming alternatives send_message and send_group_message.

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

Usage Guidelines5/5

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

Clearly states when to use (reacting without sending a reply), when not to use (for text replies), and gives exact alternative tools. Also notes the requirement of exactly one of recipient or group_id.

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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