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. It mentions that the tool returns a 'Dictionary with deployment examples and common use cases,' which gives some insight into the output format. However, it doesn't address other behavioral aspects like whether this is a read-only operation, potential rate limits, authentication needs, or error conditions. For a tool with zero annotation coverage, this is a significant gap.

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 concise and front-loaded, with the main purpose stated in the first sentence and additional return information in the second. Both sentences earn their place by providing essential details without unnecessary elaboration. However, it could be slightly more structured by explicitly separating purpose from return values.

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 the tool has no parameters, no annotations, and no output schema, the description provides basic completeness by stating the purpose and return format. However, it lacks details on behavioral traits, usage context, and potential limitations, which are important for a tool that might involve complex deployment examples. This makes it adequate but with clear gaps.

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 tool has 0 parameters, and schema description coverage is 100%. The description doesn't need to explain any parameters, which is appropriate. Since there are no parameters to document, a baseline score of 4 is justified, as the description doesn't add parameter semantics but doesn't need to.

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 examples of how to deploy popular marketplace applications.' It specifies the verb ('Get examples') and resource ('popular marketplace applications'), making the function understandable. However, it doesn't explicitly differentiate from sibling tools like 'get_popular_marketplace_apps' or 'get_application_deployment_guide', which could provide similar or related information.

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 any prerequisites, context for usage, or exclusions. Given the many sibling tools related to applications and deployment, this lack of differentiation leaves the agent without clear usage instructions.

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