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 the 'exact name match' constraint, which is useful, but fails to describe other critical behaviors: whether this is a read-only operation, what happens if no match is found (e.g., returns null or error), authentication requirements, rate limits, or the structure of returned details. For a tool with no annotation coverage, this leaves significant gaps in understanding its behavior.

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 front-loaded: the first sentence states the core purpose, followed by brief 'Args' and 'Returns' sections. There's no wasted text, and the structure is clear. However, the use of 'Args:' and 'Returns:' headings is slightly redundant with structured fields, though it aids readability.

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 low complexity (1 parameter, no nested objects) and the presence of an output schema (which handles return value documentation), the description is minimally adequate. However, with no annotations and 0% schema description coverage, it should do more to explain behavioral aspects like error handling or usage constraints. The description covers the basics but lacks depth for safe and effective 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 minimal semantics beyond the input schema: it specifies that the 'name' parameter requires an 'Exact OS name to find.' With 0% schema description coverage (the schema has no descriptions for parameters), this provides some value by clarifying the parameter's purpose and constraint. However, it doesn't explain format expectations (e.g., case sensitivity, examples) or compensate fully for the lack of schema documentation, warranting a baseline score.

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 operating system by exact name match.' It specifies the verb ('Get'), resource ('operating system'), and key constraint ('exact name match'). However, it doesn't explicitly differentiate from sibling tools like 'get_operating_system' or 'search_os_by_name' that might have different matching behavior or scope.

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 through 'exact name match,' suggesting this tool should be used when the exact OS name is known, as opposed to partial or fuzzy matching. However, it doesn't explicitly state when to use this tool versus alternatives like 'search_os_by_name' or 'get_operating_system,' 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.