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aidenappl
by aidenappl

lattice_reboot_worker

Reboot a specific worker machine by providing its ID to restart and apply updates or resolve issues.

Instructions

Reboot a worker machine

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesWorker ID
Behavior2/5

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

No annotations are provided, so the description must fully disclose behavioral traits. It only says 'Reboot', which implies a restart but fails to clarify whether it's graceful, if it disrupts running containers, or what authorization is needed. Significant behavioral ambiguity remains.

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 extremely concise at only four words, with no unnecessary information. It is front-loaded and efficient for an AI agent to parse quickly.

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 potentially disruptive action like rebooting a worker, the description lacks essential context: what happens after reboot, whether it affects other resources, or how to verify success. Despite low complexity (one param, no output schema), the tool's nature demands more detail.

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 input schema covers 100% of parameters, and the schema description for parameter 'id' ('Worker ID') is clear. The tool description adds no extra meaning beyond the schema, so baseline score of 3 is appropriate.

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?

Description clearly states the action (reboot) and resource (worker machine). It effectively distinguishes from sibling tools like lattice_upgrade_worker, lattice_stop_all_worker, and lattice_start_all_worker, which have different purposes. However, it does not specify the scope or impact of rebooting.

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

Usage Guidelines2/5

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

The description provides no guidance on when to use this tool versus alternatives such as upgrade_worker or stop/start_all_worker. There is no mention of prerequisites, context, or exclusion criteria.

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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