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: use cluster/node pool labels or UUIDs,' which adds useful context about input flexibility. However, it doesn't describe whether this is a read-only operation, what permissions are required, error handling, rate limits, or the format of the returned 'Detailed node pool information.' For a tool with zero annotation coverage, this is a significant gap.

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 well-structured: a clear purpose statement, a note on identifier resolution, and separate sections for Args and Returns. Each sentence adds value without redundancy. It could be slightly more front-loaded by integrating the identifier resolution into the main statement, 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 moderate complexity (2 required parameters), no annotations, and no output schema, the description is partially complete. It covers the purpose, parameters, and return type broadly, but lacks details on behavioral aspects like safety, permissions, error cases, and the structure of the returned information. This leaves gaps for an AI agent to invoke it correctly in all contexts.

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 schema description coverage is 0%, so the description must compensate. It explicitly lists both parameters ('cluster_identifier' and 'nodepool_identifier') and explains their semantics: 'The cluster label or ID' and 'The node pool label or ID.' This adds meaningful context beyond the bare schema, clarifying that identifiers can be labels or UUIDs. However, it doesn't provide examples or format details, preventing a score of 5.

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 detailed information about a specific node pool.' It specifies the verb ('Get'), resource ('node pool'), and scope ('detailed information about a specific node pool'). However, it doesn't explicitly differentiate from sibling tools like 'get_kubernetes_cluster' or 'list_kubernetes_node_pools', which would be needed for a score of 5.

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 implied usage guidance through the phrase 'specific node pool,' suggesting this is for retrieving details of a particular node pool rather than listing multiple pools. However, it lacks explicit guidance on when to use this tool versus alternatives like 'list_kubernetes_node_pools' or 'get_kubernetes_cluster,' and doesn't 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.