Vultr MCP

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

No annotations are provided, so the description carries full burden. It mentions 'analyze' and 'provide recommendations', implying a read-only diagnostic operation, but doesn't disclose behavioral traits like whether it requires specific permissions, has rate limits, returns structured vs. free-text results, or if it performs active probing. This is inadequate for a tool with zero annotation coverage.

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 appropriately sized and front-loaded: the first sentence states the core purpose, followed by brief Arg/Returns sections. There's no wasted text, though the structure could be more integrated (e.g., combining purpose and returns).

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 one parameter with 0% schema coverage and an output schema present, the description is minimally adequate. It covers the parameter semantics and return intent but lacks behavioral context (no annotations) and doesn't explain what 'recommendations' entail, though the output schema may address this. For a diagnostic tool, more operational guidance would be helpful.

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?

The description adds meaningful context for the single parameter: 'domain: The domain name to analyze'. With 0% schema description coverage and only one parameter, this compensates well by clarifying the parameter's purpose and format. However, it doesn't specify constraints like valid TLDs or input examples.

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 tool's purpose: 'Analyze DNS configuration for a domain and provide recommendations.' It specifies the verb ('analyze'), resource ('DNS configuration for a domain'), and outcome ('provide recommendations'). However, it doesn't explicitly differentiate from sibling tools like 'get_domain' or 'validate_record', which lowers it from a perfect score.

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 no guidance on when to use this tool versus alternatives. It doesn't mention prerequisites, exclusions, or compare it to related tools like 'analyze_cdn_performance' or 'get_domain'. The agent must infer usage from the purpose alone.

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