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robford-brookai

DuploCloud Docker MCP Server

bucket_get

Retrieve detailed information about a specific S3 bucket by providing the tenant ID and bucket name. This tool helps you access bucket configuration and properties for management purposes.

Instructions

Get details of a specific S3 bucket.

Args: tenant_id: The tenant ID containing the bucket. name: The bucket name to look up.

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 full burden but only states it retrieves details without mentioning behavioral aspects like authentication requirements, error conditions (e.g., if bucket doesn't exist), rate limits, or what 'details' specifically includes. This leaves significant gaps for a read operation.

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 efficiently structured with a clear opening sentence followed by parameter explanations. However, the 'Args:' section could be integrated more seamlessly, and some redundancy exists (e.g., 'bucket' repeated).

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 2 parameters with 0% schema coverage and an output schema present, the description provides basic parameter semantics but lacks behavioral context. The output schema likely covers return values, but the description doesn't mention authentication, errors, or usage context, making it minimally adequate but incomplete.

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%, but the description adds basic semantic context for both parameters ('tenant ID containing the bucket' and 'bucket name to look up'), clarifying their roles. However, it doesn't provide format examples, constraints, or relationships between parameters beyond what's minimally required.

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 ('Get details') and resource ('specific S3 bucket'), making the purpose immediately understandable. However, it doesn't differentiate from sibling 'bucket_list' which also retrieves bucket information but for multiple buckets, missing explicit sibling distinction.

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 like 'bucket_list' for listing all buckets or 'bucket_update' for modifying bucket details. The description only states what it does without context about appropriate 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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