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robford-brookai

DuploCloud Docker MCP Server

bucket_create

Create an S3 bucket in a DuploCloud tenant to store and manage cloud object storage resources.

Instructions

Create a new S3 bucket in a DuploCloud tenant.

Args: tenant_id: The tenant ID to create the bucket in. name: Name for the new bucket.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tenant_idYes
nameYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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 states the tool creates a bucket but fails to mention critical traits such as required permissions, whether the operation is idempotent, potential side effects (e.g., costs or conflicts), or response behavior (though an output schema exists). This leaves significant gaps for a mutation tool.

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 appropriately sized and front-loaded, with the core purpose in the first sentence and parameters listed concisely. There is minimal waste, though the parameter explanations could be slightly more informative without sacrificing brevity.

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?

Given the tool's complexity (a mutation with 2 parameters), no annotations, and an output schema (which reduces need to explain returns), the description is moderately complete. It covers the basic purpose and parameters but lacks behavioral context and usage guidelines, making it adequate but with clear gaps for safe invocation.

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 0%, so the description must compensate. It lists both parameters (tenant_id and name) with brief explanations, adding meaning beyond the bare schema. However, it does not provide details like format constraints (e.g., bucket naming rules) or dependencies, only partially addressing the coverage gap.

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 clearly states the action ('Create a new S3 bucket') and resource ('in a DuploCloud tenant'), providing specific verb+resource. However, it does not explicitly differentiate from sibling tools like bucket_update or database_create, which would require mentioning uniqueness such as being the only bucket creation tool or contrasting with update operations.

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. It lacks context on prerequisites (e.g., tenant existence), exclusions (e.g., when not to create a bucket), or comparisons to siblings like bucket_update or database_create, leaving the agent without usage direction.

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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