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liara_create_snapshot

Create a snapshot of a virtual machine to capture its current state for backup, recovery, or cloning purposes.

Instructions

Create a VM snapshot

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
vmIdYesThe VM ID
nameNoSnapshot name (optional)

Implementation Reference

  • The main handler function that implements the logic for creating a VM snapshot. It validates the VM ID, creates a specialized IaaS client, and makes a POST request to the Liara IaaS API to create the snapshot.
    export async function createSnapshot(
        client: LiaraClient,
        vmId: string,
        name?: string
    ): Promise<{ snapshotId: string; name: string; createdAt: string }> {
        validateRequired(vmId, 'VM ID');
        const iaasClient = createIaaSClient(client);
        const body = name ? { name } : {};
        return await iaasClient.post<{ snapshotId: string; name: string; createdAt: string }>(
            `/vm/${vmId}/snapshots`,
            body
        );
    }
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It states 'Create a VM snapshot' but does not mention critical details like whether this operation is destructive, requires specific permissions, impacts VM performance, or has rate limits. This leaves significant gaps in understanding the tool's behavior.

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, efficient sentence with no wasted words, making it easy to parse and understand quickly. It is appropriately sized for the tool's purpose and front-loaded with essential information.

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?

Given the lack of annotations and output schema, the description is incomplete for a mutation tool. It fails to address behavioral aspects like side effects, error conditions, or return values, leaving the agent with insufficient context to use the tool safely and effectively.

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 has 100% description coverage, with 'vmId' and 'name' clearly documented. The description does not add any additional meaning beyond the schema, such as format examples or constraints, but the schema provides adequate baseline information, meeting the minimum viable standard.

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 'Create a VM snapshot' clearly states the action (create) and resource (VM snapshot), which is specific and unambiguous. However, it does not differentiate from sibling tools like 'liara_create_backup' or 'liara_restore_snapshot', which involve similar concepts, leaving some ambiguity in scope.

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?

No guidance is provided on when to use this tool versus alternatives such as 'liara_create_backup' or 'liara_restore_snapshot'. The description lacks context about prerequisites (e.g., VM state), exclusions, or specific use cases, offering only a basic statement of 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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