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. It mentions 'Smart identifier resolution' which adds useful context about input flexibility, but it doesn't disclose critical behavioral traits such as whether this is a read-only operation (implied by 'Get' but not explicit), potential rate limits, authentication requirements, or error conditions. For a tool with no 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 appropriately sized and front-loaded: the first sentence states the purpose clearly, followed by a note on identifier resolution and a brief Args/Returns section. There's no wasted text, and the structure helps with readability. It could be slightly more concise by integrating the Args/Returns into the flow, but it's efficient overall.

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 complexity (a read operation with 1 parameter), no annotations, no output schema, and 0% schema coverage, the description is moderately complete. It covers the purpose, parameter semantics, and return value types, but lacks details on behavioral aspects like safety, performance, or error handling. For a tool with minimal structured data, it does an adequate but not thorough job.

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 adds meaning beyond the input schema by explaining that 'cluster_identifier' accepts 'cluster label or UUID,' which clarifies the parameter's semantics. However, with 0% schema description coverage and 1 parameter, this is a minimal improvement. The baseline is 3 because the schema lacks descriptions, and the description compensates slightly but doesn't fully detail format or constraints.

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 resource usage information for a Kubernetes cluster.' It specifies the resource (Kubernetes cluster) and the type of information (resource usage including CPU, memory, and storage). However, it doesn't explicitly differentiate from sibling tools like 'get_kubernetes_cluster' or 'get_kubernetes_cluster_status', which are also read operations on clusters.

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 with 'Smart identifier resolution: use cluster label or UUID,' which implies how to identify clusters. However, it doesn't specify when to use this tool versus alternatives like 'analyze_kubernetes_cluster_costs' or 'get_kubernetes_cluster_status' for related cluster information. The guidance is implied but not explicit about exclusions or alternatives.

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