Vultr MCP

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

With no annotations provided, the description carries full burden. It effectively discloses key behavioral traits: the tool performs a mutation (conversion), explains the outcome (IP becomes reserved and remains attached), and clarifies the use case (preservation after instance destruction). It doesn't mention permissions, rate limits, or error conditions, but covers the essential transformation behavior well.

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?

Perfectly structured with clear sections (Args, Returns, usage explanation). Every sentence earns its place: the first states the purpose, the parameter explanations are essential, the return statement is helpful, and the usage context is valuable. No wasted words.

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 no annotations, 0% schema coverage, but with an output schema present, the description provides strong context. It explains the transformation purpose, parameters, and return value at a high level. It could mention potential errors or constraints, but covers the essential operation well for a mutation tool.

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 provides meaningful context for all three parameters: 'ip_address' is what gets converted, 'instance_id' identifies the owning instance, and 'label' is optional for the new reserved IP. This adds crucial semantic understanding beyond the bare schema types.

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 ('convert') on a specific resource ('existing instance IP to a reserved IP'), distinguishing it from siblings like 'create_ipv4' or 'delete_ipv4'. It precisely defines the transformation from one IP type to another.

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?

Explicitly states when to use this tool ('when you want to keep an IP address even after destroying the instance') and provides a clear alternative scenario (keeping IP attached vs. destroying). This directly addresses the core decision point for using this tool versus alternatives.

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