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robford-brookai

DuploCloud Docker MCP Server

bucket_list

Retrieve all S3 buckets within a DuploCloud tenant to manage cloud storage resources and monitor bucket configurations.

Instructions

List all S3 buckets in a DuploCloud tenant.

Args: tenant_id: The tenant ID to list buckets for.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tenant_idYes

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 full burden for behavioral disclosure. It states it's a list operation, implying read-only behavior, but doesn't mention authentication requirements, rate limits, pagination behavior, error conditions, or what format the output takes. For a tool with no annotation coverage, this leaves significant behavioral questions unanswered.

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 perfectly concise and well-structured. The first sentence clearly states the tool's purpose, followed by a clean parameter explanation. Every word earns its place with zero redundancy or unnecessary elaboration.

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 simplicity (single parameter, list operation) and the presence of an output schema, the description is minimally adequate. However, for a tool with no annotations, it should ideally provide more behavioral context about authentication, error handling, or output characteristics. The output schema existence reduces but doesn't eliminate the need for some operational context.

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?

The description provides clear semantic meaning for the single parameter (tenant_id: 'The tenant ID to list buckets for'), which adds value beyond the schema's 0% description coverage. While there's only one parameter, the description fully explains its purpose and relationship to the operation, compensating for the schema's lack of parameter descriptions.

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 ('List all') and resource ('S3 buckets in a DuploCloud tenant'), making the purpose immediately understandable. It distinguishes from siblings like bucket_create, bucket_delete, bucket_get, and bucket_update by specifying it's a listing operation. However, it doesn't explicitly differentiate from other list tools like database_list or service_list beyond the resource type.

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 doesn't mention when this tool is appropriate compared to bucket_get (for single bucket details) or other list tools for different resources. There's no discussion of prerequisites, limitations, or typical use cases.

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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