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asyntai

@asyntai/mcp

Official

Give a conversation back to the AI

release_conversation
DestructiveIdempotent

Return an intercepted conversation to the AI assistant, enabling it to respond from the next user message onward.

Instructions

Hand a taken-over conversation back to the AI, which answers the visitor again from the next message.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
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

A4/5.0
Behavior3/5

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

Annotations already declare destructiveHint=true and readOnlyHint=false, so the description doesn't need to re-state that. It adds context about the timing (AI answers from the next message) which is useful. However, it doesn't elaborate on what happens to the takeover state or any potential side effects beyond the annotations.

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?

A single sentence that is front-loaded with the core action and effect, with no redundant words. Perfectly concise.

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 simple tool with one param and no output schema, the description covers the purpose and effect adequately. It implies the prerequisite of a taken-over conversation but doesn't state it explicitly, nor does it mention error cases. Overall, it's nearly complete.

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 fully describes the single parameter session_id with 'Session id of the conversation.' Since schema coverage is 100%, the description doesn't need to add more. It doesn't, so a baseline 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 action (release/hand back) and the resource (conversation), and explains the effect: the AI resumes answering from the next message. It differentiates from the sibling take_over_conversation by describing the inverse action.

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 implies the tool is used when a conversation has been taken over, which is clear from the wording 'taken-over conversation'. It doesn't explicitly mention alternatives or when not to use it, but the context of siblings and the phrase 'hand back' make the usage scenario obvious. It could be more explicit about prerequisites (e.g., only for taken-over conversations).

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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