Vultr MCP

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It states this is a read operation ('List') and mentions what the return includes ('pricing and limits'), which is helpful. However, it doesn't cover important behavioral aspects like pagination, rate limits, authentication requirements, or error conditions that would be valuable for an agent.

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 efficiently structured with a clear purpose statement followed by dedicated 'Args' and 'Returns' sections. Every sentence adds value without redundancy, making it easy to parse and understand quickly.

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?

For a read-only tool with 1 parameter and no output schema, the description provides adequate coverage of purpose and parameter semantics. However, without annotations and with no output schema, it lacks details about return format structure, error handling, and operational constraints that would make it more complete for 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?

The description adds meaningful context for the single parameter 'cluster_id' by explaining what it represents and how to obtain valid values ('use list_clusters to see available clusters'). With 0% schema description coverage, this significantly compensates for the schema's lack of documentation, though it doesn't specify format constraints beyond being an integer.

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 with specific verb ('List') and resource ('all available tiers for a specific Object Storage cluster'), making it immediately understandable. However, it doesn't explicitly differentiate from sibling tools like 'list_clusters' beyond mentioning it as a prerequisite, missing direct comparison.

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 clear context for when to use this tool by specifying it requires a cluster ID and referencing 'list_clusters' to obtain available clusters. This gives practical guidance, though it doesn't explicitly state when not to use it or name alternative tools for similar purposes.

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