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configure_temp_datasets

Configure temporary dataset collection and push for an Orb device, either to a custom endpoint or local API, with automatic revert after a set duration.

Instructions

Configure temporary dataset collection and push for an Orb Cloud device.

Enables the device to push data to a custom endpoint or expose a local API for a fixed duration. After the duration expires, the device reverts to its default configuration.

Args: device_id: The Orb device ID to configure. duration: How long to enable the configuration (e.g. '30m', '1h'). datasets_config: Dataset collection and push configuration. If omitted, only the duration is updated.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
durationYesHow long to enable (e.g. '30m', '1h', '2h').
device_idYes
datasets_configNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

With no annotations, the description carries the burden and it discloses the temporary nature, automatic reversion to default after expiration, and the conditional behavior when datasets_config is omitted. It does not detail permissions or immediate activation mechanics, but the key behavioral traits are covered.

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 well-organized with a purpose sentence, a short behavioral explanation, and an Args list. Every sentence adds value and the structure makes it easy to scan.

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?

Given the rich nested schema and presence of an output schema, the description need not repeat every subfield. It explains the temporary lifecycle and parameter semantics comprehensively; some gaps remain around operational prerequisites, but overall it is sufficient.

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

Parameters4/5

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

The Args section explains all three top-level parameters, including the device identifier, duration format with examples, and the role of datasets_config plus the effect of omitting it. This compensates for the low schema description coverage (33%) at the top level.

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 states a specific verb ('Configure') and resource ('temporary dataset collection and push for an Orb Cloud device'), and the scope is unambiguous. It clearly differs from siblings like list_devices and trigger_speedtest by describing a configuration action with temporary behavior.

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 provides clear context: the tool enables temporary push to a custom endpoint or local API for a fixed duration, and notes that omitting datasets_config only updates the duration. It does not explicitly name alternatives or exclusions, but the sibling tools are clearly different in purpose.

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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