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 the action ('Start a database engine version upgrade') but fails to mention critical details like whether this is a destructive operation, requires downtime, has rate limits, or specific permissions needed. This leaves significant gaps in understanding the tool's 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 well-structured and front-loaded with the core purpose, followed by brief parameter and return value sections. It avoids unnecessary verbosity, though the parameter descriptions could be slightly more informative without sacrificing conciseness.

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 of a version upgrade operation, no annotations, no output schema, and low schema coverage, the description is incomplete. It lacks details on behavioral implications, error conditions, and what the 'Status message' entails, making it inadequate for safe and effective tool invocation.

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 lists the two parameters ('database_id' and 'version') and provides minimal semantic context ('Target version to upgrade to'), but doesn't explain format, constraints, or examples. This adds some value but is insufficient for full parameter understanding, aligning with the baseline expectation.

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 a specific verb ('Start') and resource ('database engine version upgrade'), making it immediately understandable. However, it doesn't differentiate from potential sibling tools like 'upgrade_kubernetes_cluster' or other upgrade-related tools, which prevents 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 provides no guidance on when to use this tool versus alternatives, prerequisites, or exclusions. It lacks context about whether this is for emergency upgrades, scheduled maintenance, or other scenarios, leaving the agent with minimal usage direction.

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