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Veeam VBR v13 MCP Server

BrowseCloudEntity

Retrieve cloud storage hierarchy details for AWS S3, Azure Blob, and GCP buckets to manage backup infrastructure within Veeam VBR v13.

Instructions

Get the cloud storage hierarchy (AWS S3, Azure Blob, GCP buckets, etc.).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
bodyYes
Behavior2/5

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

No annotations are provided, so the description carries full burden. It implies a read operation ('Get') but doesn't disclose behavioral traits such as required permissions, rate limits, pagination, or whether it returns a flat list or hierarchical structure. The mention of 'hierarchy' hints at nested output, but this isn't elaborated. For a tool with no annotation coverage, this leaves significant gaps in understanding its behavior.

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 a single, efficient sentence that directly states the tool's purpose with no wasted words. It's front-loaded and appropriately sized for the complexity, making it easy to parse quickly.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the complexity (cloud storage hierarchy across multiple providers), no annotations, no output schema, and poor parameter coverage, the description is incomplete. It lacks details on return format, error handling, authentication needs, and how to interpret the 'hierarchy'. For a tool with rich potential data, this minimal description doesn't provide enough context for effective use.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema has 1 parameter ('body') with 0% description coverage and no details in the schema. The description adds no information about parameters—it doesn't explain what 'body' should contain, such as filters, cloud provider specifics, or scope. With low schema coverage and no compensation in the description, this fails to provide necessary parameter semantics.

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') and resource ('cloud storage hierarchy') with specific examples (AWS S3, Azure Blob, GCP buckets). It distinguishes from siblings like 'BrowseCloudEntityVirtualMachines' and 'BrowseCloudVaultEntity' by focusing on storage hierarchy rather than virtual machines or vaults. However, it doesn't explicitly differentiate from other 'Get' tools that might retrieve similar data, keeping it at a 4.

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 prerequisites, context for usage, or exclusions. With many sibling tools (like 'GetAllCloudCreds' or 'GetDiscoveredEntities') that might retrieve related cloud data, the lack of comparative guidance leaves the agent uncertain about tool selection.

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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