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asyntai

@asyntai/mcp

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Send a message to a visitor

send_agent_reply

Send a message from an agent to a visitor in an active conversation, using the session ID to target the correct chat.

Instructions

Send a message, as a human agent, to a real visitor who is chatting right now. Take the conversation over first. The visitor sees this immediately, so show the user the exact wording and get their agreement before calling this.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
messageYesThe text to send to the visitor.
agent_nameNoName shown to the visitor. Defaults to the account's agent name.
session_idYesSession id of the conversation.

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv1.0.2

TDQS

A4.5/5.0
Behavior5/5

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

The description goes beyond the annotations by warning that the visitor sees the message immediately and that user confirmation is required. This is crucial behavioral information not captured in the readOnlyHint/destructiveHint flags.

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 concise, consisting of two sentences that front-load the core action and then provide essential precautionary context. No unnecessary words or 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?

The description covers the essential context: the action, the prerequisite, and the importance of user confirmation. Since there is no output schema, no return value explanation is needed, and the description is fully complete for an agent to use the tool 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?

The schema already provides complete descriptions for all three parameters (message, agent_name, session_id). The tool description adds no further parameter-specific detail, so a baseline score of 3 is appropriate.

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 the tool's purpose: sending a message as a human agent to a live visitor. It also distinguishes itself from related actions by specifying the prerequisite of taking over the conversation first.

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?

The description provides explicit sequencing guidance ('Take the conversation over first') and a critical caution ('show the user the exact wording and get their agreement'). It does not explicitly contrast with alternative tools but gives sufficient context for when to use this tool.

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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