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 states this is a read operation ('Get'), but doesn't cover important aspects like authentication requirements, rate limits, error handling, or whether it returns structured data. For a tool with zero annotation coverage, this leaves significant gaps in understanding its behavior.

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 with clear sections for purpose, arguments, and returns. It uses bullet points effectively and avoids unnecessary words. However, the 'Returns' section could be more specific, and the overall length is appropriate for the tool's complexity.

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 has no annotations, no output schema, and low schema description coverage (0%), the description does an adequate job by explaining the parameter and return value at a high level. However, it lacks details on authentication, error cases, and the structure of the deployment guidance, which would be important for an agent to use it effectively in a broader context.

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 includes an 'Args' section that documents the single parameter 'app_id' with semantic meaning ('The application ID, name, short_name, or image_id'), which is helpful since schema description coverage is 0%. However, it doesn't provide examples, format details, or validation rules. With only one parameter and some semantic clarification, it meets the baseline but could be more informative.

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 deployment guidance for an application.' It specifies the verb ('Get') and resource ('deployment guidance for an application'), making it easy to understand. However, it doesn't explicitly differentiate from sibling tools like 'get_application' or 'get_deployment_examples', which could provide similar 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 prerequisites, context (e.g., after selecting an application), or compare it to siblings like 'get_application' or 'get_inference_deployment_guide'. Without this, an agent might struggle to choose the right tool.

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