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rsp2k
by rsp2k

delete_serverless_inference

Remove a serverless inference subscription from Vultr cloud infrastructure. This action permanently terminates the specified subscription and is irreversible.

Instructions

Delete a serverless inference subscription.

Warning: This action is irreversible and will immediately terminate the subscription.

Args: subscription_id: The inference subscription ID or label to delete

Returns: Confirmation of deletion

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
subscription_idYes
Behavior4/5

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

With no annotations provided, the description carries the full burden. It effectively discloses critical behavioral traits: the action is 'irreversible' and causes 'immediate termination', which are essential for a destructive operation. However, it lacks details on permissions, error conditions, or response format beyond confirmation.

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-structured and front-loaded with the core purpose, followed by a warning, and then parameter and return details. Every sentence adds value without redundancy, making it efficient and easy to parse.

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?

For a destructive tool with no annotations and no output schema, the description does a decent job by warning about irreversibility and specifying the parameter. However, it lacks details on prerequisites (e.g., authentication), error handling, or what the 'confirmation of deletion' entails, leaving some gaps in completeness.

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?

Schema description coverage is 0%, so the description must compensate. It adds meaningful context for the single parameter 'subscription_id', clarifying it can be an 'ID or label', which goes beyond the schema's basic string type. This adequately covers the parameter semantics given the low schema coverage.

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 clearly states the specific action ('Delete') and resource ('serverless inference subscription'), distinguishing it from sibling tools like 'create_serverless_inference' or 'update_serverless_inference'. It precisely defines what the tool does without ambiguity.

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 like 'delete' (generic) or other deletion tools. It mentions the action is irreversible, which is a caution but not usage guidance. No explicit when/when-not or alternative tool references are included.

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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