Vultr MCP

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. While it states this is a read operation ('Get'), it doesn't mention authentication requirements, rate limits, error conditions, or whether the operation is idempotent. The description adds minimal behavioral context beyond the basic purpose.

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 perfectly structured and concise. It starts with a clear purpose statement, followed by well-organized 'Args' and 'Returns' sections. Every sentence adds value with no redundancy or fluff, making it easy for an agent to parse 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?

For a simple read tool with one parameter and no output schema, the description is mostly complete. It explains the purpose, parameter semantics, and return format. However, it lacks behavioral details like authentication or error handling, and doesn't reference sibling tools, leaving some gaps in contextual understanding.

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 provides excellent parameter semantics beyond the schema. The schema only indicates 'user_id' is a required string, but the description clarifies it can be 'The user ID (UUID) or email address,' explaining the acceptable formats. With 0% schema description coverage, this fully compensates by adding crucial usage details not in the schema.

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: 'Get the IP whitelist for a user.' It uses a specific verb ('Get') and resource ('IP whitelist') with a clear target ('for a user'). However, it doesn't explicitly distinguish itself from sibling tools like 'get_ip_whitelist_entry' or 'add_ip_whitelist_entry', which would require mentioning it retrieves the entire whitelist rather than individual entries.

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 sibling tools like 'get_ip_whitelist_entry' (for single entries) or 'add_ip_whitelist_entry' (for modifications), nor does it specify prerequisites or contextual constraints. The agent must infer usage from the tool name alone.

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