Vultr MCP

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It mentions 'comprehensive cluster status including health, resources, and node status,' which gives some insight into output content, but fails to address critical behavioral aspects such as whether this is a read-only operation, potential rate limits, authentication requirements, or error handling. 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 and front-loaded with the main purpose, followed by specific details in 'Args' and 'Returns' sections. It uses three concise sentences without unnecessary fluff, making it efficient. However, the 'Smart identifier resolution' note could be integrated more smoothly, and there's slight room for improvement in flow.

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's moderate complexity (1 parameter, no output schema, no annotations), the description is partially complete. It covers the purpose, parameter meaning, and return content, but lacks details on behavioral traits, error cases, or how it differs from sibling tools. Without annotations or output schema, more context on operational aspects would enhance completeness for effective agent use.

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 input schema has 1 parameter with 0% description coverage, and the description adds value by explaining 'cluster_identifier: The cluster label or ID' and noting 'Smart identifier resolution.' This clarifies the parameter's purpose and acceptable values beyond the schema's basic type. However, it doesn't provide examples or format details, so while it compensates somewhat for the schema gap, it doesn't fully document the parameter semantics.

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 comprehensive status information for a Kubernetes cluster.' It specifies the verb ('Get') and resource ('Kubernetes cluster'), and distinguishes it from siblings like 'get_kubernetes_cluster' (which likely returns basic info) by emphasizing 'comprehensive status.' However, it doesn't explicitly differentiate from 'get_kubernetes_cluster_resources' or 'get_health_status,' which slightly limits clarity.

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 some usage context by mentioning 'Smart identifier resolution: use cluster label or UUID,' which guides how to identify the cluster. However, it lacks explicit guidance on when to use this tool versus alternatives like 'get_kubernetes_cluster' or 'get_kubernetes_cluster_resources,' and does not specify prerequisites or exclusions, leaving usage somewhat implied rather than fully defined.

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