Vultr MCP

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

No annotations are provided, so the description carries full burden. It mentions the return type ('List of available Kubernetes versions') but lacks critical behavioral details: whether this requires authentication, if it's rate-limited, how the list is formatted (e.g., sorted, filtered), or if it's a read-only operation. The description is minimal and doesn't compensate for the absence of annotations.

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 brief and front-loaded with the main purpose in the first sentence. The second sentence adds clarifying context ('for new clusters') without redundancy. However, it could be slightly more structured (e.g., bullet points for returns) but remains efficient with minimal waste.

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 simplicity (0 parameters, no annotations, no output schema), the description is somewhat complete but lacks depth. It covers the basic purpose and return context but misses behavioral aspects like authentication needs or rate limits. For a read operation in a complex domain like Kubernetes, more context would be beneficial to ensure safe and correct usage.

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 tool has 0 parameters, and schema description coverage is 100% (empty schema). The description doesn't need to explain any parameters, which is appropriate. It adds no parameter semantics, but with no parameters, this is acceptable, meeting the baseline for this scenario.

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 list of available Kubernetes versions' with the specific verb 'Get' and resource 'Kubernetes versions'. It distinguishes itself from siblings like 'get_kubernetes_cluster' or 'get_kubernetes_available_upgrades' by focusing on versions for new clusters. However, it doesn't explicitly contrast with 'list_available_versions' which might be a more generic sibling.

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 context by specifying 'for new clusters', suggesting this is for planning or creating clusters rather than checking existing ones. However, it doesn't explicitly state when to use this versus alternatives like 'get_kubernetes_available_upgrades' (for existing clusters) or provide clear exclusions. The guidance is present but not comprehensive.

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