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 states the tool performs validation (a read-only, non-destructive operation) and mentions the return format ('Validation results with any errors or warnings'), which adds useful context. However, it doesn't cover potential side effects, authentication needs, rate limits, or error handling details.

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 well-structured and front-loaded with the core purpose, followed by a clear breakdown of arguments and returns. Every sentence adds value without redundancy, making it efficient and easy to parse.

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 the tool's moderate complexity (5 parameters, validation focus) and the presence of an output schema (which handles return values), the description is largely complete. It covers purpose, parameters, and return context adequately. However, it could benefit from more behavioral details like validation rules or prerequisites, given the lack of annotations.

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?

Schema description coverage is 0%, so the description must compensate. It effectively adds meaning by explaining each parameter's purpose (e.g., 'Record type (A, AAAA, CNAME, MX, TXT, NS, SRV)', 'Priority for MX/SRV records'), which clarifies usage beyond the bare schema. This significantly enhances parameter understanding despite the schema's lack of descriptions.

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 specific action ('Validate a DNS record before creation'), identifies the resource ('DNS record'), and distinguishes it from siblings like 'create_record' by focusing on pre-creation validation rather than actual creation. This provides precise differentiation.

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 implicitly indicates usage context ('before creation'), suggesting this tool should be used prior to 'create_record' to check validity. However, it lacks explicit guidance on when not to use it or direct alternatives, such as whether validation is optional or mandatory.

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