Vultr MCP

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 mentions 'smart identifier resolution' which adds useful context about how the tool resolves identifiers, but it doesn't address important behavioral aspects like whether this is a destructive operation, what permissions are required, whether changes are reversible, or any rate limits. For a mutation tool with zero annotation coverage, this leaves significant gaps.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is efficiently structured with a clear purpose statement followed by organized sections for Args and Returns. Every sentence serves a purpose, and there's no redundant information. The formatting makes it easy to scan and understand quickly.

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

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

Given that this is a mutation tool with no annotations, the description does a good job covering the essential aspects: purpose, parameters, and return value. The presence of an output schema means the description doesn't need to detail return values. However, it could provide more behavioral context about the mutation's implications and any constraints.

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

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

With 0% schema description coverage, the description compensates well by explaining all three parameters in the 'Args' section, clarifying what each parameter accepts (identifiers can be descriptions/labels/hostnames/IDs) and providing the default value for vpc_type. This adds meaningful semantic context beyond what the bare schema provides.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action ('Attach') and resources involved ('VPC or VPC 2.0 to an instance'), making the purpose immediately understandable. However, it doesn't explicitly differentiate from sibling tools like 'attach' or 'detach_from_instance', which appear to be related attachment/detachment operations.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides some contextual guidance by mentioning 'smart identifier resolution' and listing acceptable identifier types (description/label/hostname/ID), which helps users understand how to use the tool. However, it doesn't specify when to use this tool versus alternatives like 'attach' or 'detach_from_instance', nor does it mention any prerequisites or exclusions.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.