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 'List all node pools' and 'Returns: List of node pools with configuration and status,' which gives basic behavioral info. However, it lacks details on permissions, rate limits, pagination, error handling, or whether this is a read-only operation (implied but not stated). For a tool with no annotations, this is insufficient.

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 a clear purpose statement, parameter guidance, and return info in three concise sentences. It's front-loaded and wastes no words, though minor improvements could make it more efficient (e.g., combining lines).

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, no output schema, and low complexity (1 parameter), the description covers basics like purpose, parameter semantics, and returns. However, it lacks behavioral details (e.g., safety, errors) and doesn't fully compensate for the missing structured data, making it adequate but with 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 description adds meaning for the single parameter 'cluster_identifier' by explaining 'Smart identifier resolution: use cluster label or UUID,' which clarifies acceptable values beyond the schema's type: string. However, with 0% schema description coverage and only 1 parameter, this provides some compensation but doesn't fully detail constraints or examples. Baseline is adjusted due to low coverage.

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 verb ('List') and resource ('all node pools for a Kubernetes cluster'), making the purpose specific and understandable. However, it doesn't explicitly differentiate from sibling tools like 'list_kubernetes_clusters' or 'list_kubernetes_nodes', which would be needed for a perfect score.

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 'get_kubernetes_node_pool' (for a single pool) or other list tools, nor does it mention prerequisites or exclusions.

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