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create_vng

Create a new AWS VNG (launch spec) under an Ocean cluster by providing a JSON string of launch spec fields. Requires confirmation to execute.

Instructions

DESTRUCTIVE: Create a new AWS VNG (launch spec) under an Ocean cluster. Requires confirm=true. Pass the launch spec fields as a JSON string.

oceanId is injected from the ocean_id argument; don't include it in spec_json. Like update_vng, plaintext userData is auto-encoded to base64 by default.

Args: ocean_id: The parent Ocean cluster ID (e.g. o-abcd1234). Required. spec_json: JSON string of launch spec fields (name, instanceTypes, labels, taints, resourceLimits, userData, etc.). Do not include oceanId. confirm: Must be true to execute. Safety guard. account_id: Optional account ID. Defaults to SPOTINST_ACCOUNT_ID env var. initial_nodes: If >0, Spot launches that many nodes immediately on create. encode_user_data: If true (default) and userData is plaintext, base64-encode it before sending.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
ocean_idYes
spec_jsonYes
confirmNo
account_idNo
initial_nodesNo
encode_user_dataNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior5/5

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

No annotations are provided, so the description carries full burden. It explicitly labels the tool as 'DESTRUCTIVE' and explains required confirmation, auto-encoding of userData, and immediate node launch via initial_nodes.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is well-structured with a warning, paragraph explanations, and bullet points for parameters. It is slightly verbose but every sentence serves a purpose.

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

Completeness5/5

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

Despite missing annotations, the description covers behavioral traits, parameter details, prerequisites, and side effects. The presence of an output schema likely covers return values, making the description complete.

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

Parameters5/5

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. It thoroughly explains all 6 parameters, adding critical context like oceanId exclusion from spec_json, requirement for confirm=true, and default behavior of encode_user_data.

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 explicitly states 'Create a new AWS VNG (launch spec) under an Ocean cluster.' with a specific verb and resource, and it distinguishes from sibling 'update_vng' by referencing its similarity.

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 provides clear instructions: requires confirm=true, oceanId is injected, and userData encoding is automatic. It does not explicitly list when not to use, but the context is clear.

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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