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s3_create_bucket

Create an S3 bucket on AWS, Hetzner, or OVH. Billing starts immediately, so confirm provider, bucket name, and region with the user before proceeding.

Instructions

Create a new S3 bucket on the given provider. Costs money — billing starts immediately. Reserved for dangerous guard mode. Confirm with the user (provider, bucket name, region) before calling.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
bucketYesBucket name to create.
regionNoRegion to create the bucket in (e.g. 'eu-central-1'). Omit to use the configured region for the provider. AWS only — for Hetzner/OVH the region is fixed by the configured endpoint URL and an override is rejected.
providerYesStorage provider.
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 of behavioral disclosure. It highlights two critical traits: costs money immediately and is dangerous, requiring confirmation. This is valuable beyond the schema. It could additionally mention what happens on success or failure, but for a creation tool this is adequate. No contradictions with annotations (since none exist).

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 three short sentences, each earning its place: what it does, the financial consequence, and the safety condition. It is front-loaded with the action and contains no filler or repetition.

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 tool's simplicity (3 params, no output schema), the description is fairly complete. It covers purpose, cost, danger, and the required confirmation. It could optionally mention what the successful response looks like or the behavior if the bucket already exists, but these are not critical. The provider-specific region caveat is already in the schema, so the description doesn't need to repeat it.

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?

Schema description coverage is 100%, so the schema fully documents each parameter. The description does not add new parameter-level meaning beyond restating 'provider, bucket name, region' in the confirmation line. It provides no extra syntax, formatting, or edge-case context that the schema doesn't already include, so baseline 3 is appropriate.

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 a specific action ('Create a new S3 bucket') on a specific resource ('S3 bucket') with a scope ('on the given provider'). This distinguishes it from sibling tools like s3_delete_bucket or s3_list_buckets, leaving no ambiguity about its purpose.

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 gives clear context: it is 'Reserved for dangerous guard mode' and requires user confirmation before calling. This tells the agent when it is appropriate to use and implies it should not be used casually. However, it does not explicitly name alternative tools or state 'when not to use', so it stops short of a full 5.

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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