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 it's a listing operation, implying it's read-only, but doesn't mention permissions required, rate limits, pagination, or what happens if the database_id is invalid. For a tool with zero annotation coverage, this leaves significant behavioral gaps.

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 with clear sections for purpose, args, and returns. It's front-loaded with the core purpose and uses bullet-like formatting efficiently. However, the 'Returns' section could be more concise by integrating it into the main sentence, and some details are slightly redundant.

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 (one parameter, no output schema, no annotations), the description is minimally adequate. It covers the basic purpose, parameter semantics, and return value, but lacks behavioral details like error handling or usage context. For a simple read operation, it's passable but could be more informative.

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 adds that 'database_id' can be an ID or label with examples ('my-mysql-db' or UUID), which provides useful semantics beyond the bare schema. However, it doesn't explain where to find this ID, format constraints, or how to handle ambiguous labels, leaving some parameter details unclear.

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 ('List') and resource ('users in a managed database'), making it easy to understand what the tool does. However, it doesn't differentiate from sibling tools like 'list' or 'get_user', which are more general or specific alternatives.

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 like 'list' (general listing), 'get_user' (single user), or 'analyze_user_permissions' (analysis-focused). There's no mention of prerequisites, context, or exclusions, leaving the agent without usage direction.

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