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 'Smart identifier resolution' and the return format ('List of nodes with status and configuration'), which adds some context. However, it lacks details on permissions, rate limits, pagination, or error handling, which are important for a read operation in a Kubernetes context. The description does not contradict annotations (none exist), but it is insufficiently informative.

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 parameter explanations and return information. It uses bullet points for clarity and avoids unnecessary words. However, the 'Smart identifier resolution' note could be integrated more smoothly, and it slightly disrupts flow, preventing a perfect score.

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 complexity (Kubernetes nodes listing), lack of annotations, and no output schema, the description is moderately complete. It covers purpose, parameters, and return format, but misses behavioral aspects like pagination, authentication needs, or error cases. For a tool with 2 parameters and no structured support, it provides a baseline but lacks depth for robust 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?

Schema description coverage is 0%, so the description must compensate. It adds meaning by explaining the parameters: 'cluster_identifier: The cluster label or ID' and 'nodepool_identifier: The node pool label or ID,' clarifying that identifiers can be labels or UUIDs. This provides useful semantics beyond the bare schema, though it could include examples or format details. With 2 parameters, this is a solid effort.

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: 'List all nodes in a specific node pool.' It specifies the verb ('List'), resource ('nodes'), and scope ('in a specific node pool'), making the action clear. However, it does not explicitly differentiate from sibling tools like 'list_kubernetes_clusters' or 'list_kubernetes_node_pools', which list different resources, so it falls short of 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 implies usage by mentioning 'Smart identifier resolution: use cluster/node pool labels or UUIDs,' which suggests context for how to use identifiers, but it does not explicitly state when to use this tool versus alternatives (e.g., 'list_kubernetes_clusters' for clusters or 'get_kubernetes_node' for a single node). No exclusions or prerequisites are provided, leaving usage somewhat inferred.

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