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Sealjay

mcp-whatsapp

send_reply

Send a quoted text reply to a previous message in a WhatsApp chat. Specify the quoted message ID and optional original sender JID for groups.

Instructions

Send a text message that visibly quotes a previous message; recipients see the new text with the quoted message attached. Reversible via delete_message (revoke) or edit_message (correct text). Use send_message for a fresh non-quoting message and send_reaction for an emoji acknowledgement. Returns the plain-text string Reply sent on success.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
bodyYesreply text body
chat_jidYesWhatsApp JID: individual as `<digits>@s.whatsapp.net` or bare phone digits, group as `<digits>-<timestamp>@g.us`
target_message_idYesWhatsApp message ID of the message being quoted (use `message_id` from list_messages)
target_sender_jidNoJID of the quoted message's original sender; required in group chats, omit in 1:1 chats (WhatsApp JID: individual as `<digits>@s.whatsapp.net` or bare phone digits, group as `<digits>-<timestamp>@g.us`)
Behavior5/5

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

Discloses return value ('Reply sent' string) and reversibility, adding context beyond annotations (which already indicate non-destructive). No contradictions.

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?

Four sentences, front-loaded with purpose, each sentence adds value: purpose, reversibility, alternatives, return value. No wasted words.

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?

For a 4-parameter tool with no output schema, the description covers purpose, usage, return value, and reversibility, making it fully adequate for an agent to invoke 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 coverage is 100%, so baseline is 3. The description adds minimal additional meaning beyond schema descriptions; it does not elaborate on parameter formats or constraints.

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 clearly states it sends a text message that quotes a previous message, using specific verb 'send' and resource 'reply'. It distinguishes from siblings like send_message (fresh non-quoting) and send_reaction (emoji).

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?

Explicitly tells when to use (to quote a message) and when not (use send_message or send_reaction). Also mentions reversibility via delete_message or edit_message, providing complete guidance.

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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