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quest_monitor

Monitor a Meta Quest headset's CPU, memory, and thermal performance over time, returning snapshots at intervals to reveal spikes or growth during app testing.

Instructions

Monitor performance over time (max 120s) and return a timeseries of snapshots. Use while exercising an app to spot CPU spikes, memory growth, or thermal climb.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
device_idNo
duration_secondsNo
interval_secondsNo
Behavior3/5

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

With no annotations, the description carries the full burden. It discloses the 'max 120s' limit and the timeseries return format, providing some transparency, but it does not mention potential side effects, prerequisites, or how it behaves during monitoring.

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 two sentences, front-loaded with the core action and constraint, and the second sentence gives valuable usage guidance. No wasted words.

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

Completeness3/5

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

The tool is simple with optional params and no output schema, so the description provides adequate purpose and usage. However, it lacks parameter documentation and detailed return format, which is a notable gap given no schema coverage.

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 coverage is 0%, so the description should explain parameters. It only hints at the duration cap ('max 120s') and does not clarify device_id or interval_seconds, leaving most parameter semantics unexplained.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool monitors performance over time and returns a timeseries of snapshots, which is a specific verb+resource. It distinguishes from sibling tools like quest_performance by emphasizing the temporal aspect and max duration.

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?

It gives explicit context: 'Use while exercising an app to spot CPU spikes, memory growth, or thermal climb.' This tells the agent when to use it, though it doesn't name alternatives or exclusions.

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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