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huytrao
by huytrao

qa_force_offline_queue

Switch a user's queue between online and offline modes to test offline-queue behavior in Hugomemo QA.

Instructions

Toggle a test offline-queue fixture through the opt-in local fixture control plane.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
modeYes
confirmYes
user_idNo

Schema Changelog

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

  1. First observedv0.1.0

TDQS

A3.5/5.0
Behavior3/5

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

With no annotations provided, the description carries the full burden. It does disclose that this is a state-changing operation ('Toggle') and that it acts on a test fixture via a local control plane, which is genuinely useful behavioral context. But it does not describe side effects, reversibility, whether it affects real queue data, or the meaning of the required confirmation, leaving significant behavioral nuance unstated.

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 a single sentence with no filler, front-loads the core action, and adds the important 'opt-in local fixture control plane' context at the end. Every word earns its place.

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

Completeness2/5

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

For a state-changing tool with no annotations and no output schema, the description is under-specified. It identifies the fixture and the toggle action, but it does not explain what actually happens to the queue, what user_id is for, what a successful response looks like, or why the explicit confirmation constant is required. An agent could guess the basic call, but not with confidence about all behaviors.

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

Parameters2/5

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

Schema description coverage is 0%, so the description must compensate for parameter meaning, and it mostly does not. The word 'Toggle' loosely maps to the mode parameter's online/offline enum, but the required confirm value and the optional user_id are never explained, leaving two of three parameters without semantic guidance from the description.

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 a specific verb ('Toggle') and a specific resource ('test offline-queue fixture'), making it immediately clear this tool is for switching a queue fixture between online and offline states. It is also distinct from all sibling tools: no other sibling targets an offline-queue fixture, so an agent can tell it apart without opening the schema.

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

Usage Guidelines3/5

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

The phrase 'test offline-queue fixture' and 'opt-in local fixture control plane' imply this is a QA/test-only tool, which gives useful context. However, the description does not explicitly state when to use it over siblings like qa_set_game_level or qa_reset_test_user, nor does it say when not to use it or what conditions should trigger it.

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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