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by rsp2k

object_storage_validate_s3_access

Validate S3 credentials for your Vultr Object Storage instance and get endpoint, credential status, and configuration suggestions.

Instructions

Validate that an Object Storage instance has valid S3 credentials.

Args: object_storage_id: The Object Storage ID or label (e.g., "my-storage", "backup-bucket", or UUID)

Returns: Validation results including: - valid: Whether the configuration appears valid - endpoint: S3 endpoint URL - has_credentials: Whether access keys are present - suggestions: Any configuration suggestions

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
object_storage_idYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv1.0.1

TDQS

A3.5/5.0
Behavior2/5

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

No annotations are present, so the description must carry the full behavioral burden. It only says 'Validate', implying a read-only check, but does not explicitly state it is non-destructive, whether it makes network calls, or what happens on validation failure. This leaves safety and side-effect information ambiguous.

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 concise and well-structured: a one-sentence purpose, followed by clear Args and Returns sections. No extraneous information, and the main purpose is front-loaded.

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?

The description covers the purpose, parameter, and return value structure, which is good for a simple single-parameter tool. However, it omits usage context (when to call it) and behavioral details (safety, error behavior), so an agent is left with some gaps. It is adequate but not thoroughly complete.

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?

Schema coverage is 0% for the parameter description, but the tool description compensates by explaining that object_storage_id can be an ID or label (e.g., 'my-storage', 'backup-bucket', or UUID) with concrete examples. This adds meaningful guidance beyond the bare schema type.

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 the tool's action ('Validate that an Object Storage instance has valid S3 credentials') and resource ('S3 credentials'). It is distinct from sibling tools like object_storage_get_s3_config or object_storage_regenerate_keys by focusing specifically on validation.

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 does not mention scenarios where validation is appropriate, nor does it contrast with related tools such as object_storage_get_s3_config. An agent would need to infer usage from the purpose, with no explicit 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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