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. It states the tool retrieves statistics, implying a read-only operation, but doesn't disclose behavioral traits such as required permissions, rate limits, data freshness, or error conditions. This leaves significant gaps for a tool that interacts with database resources.

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, with the main purpose stated first, followed by structured sections for args and returns. Each sentence adds value without redundancy, though the returns section could be slightly more detailed given the lack of output schema.

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 moderate complexity (single parameter, no annotations, no output schema), the description is minimally adequate. It covers the purpose and parameter semantics but lacks behavioral transparency and usage guidelines, leaving gaps in understanding how to effectively use the tool in context with siblings.

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 meaning by explaining that 'database_id' can be an ID or label with examples ('my-mysql-db' or UUID), which clarifies beyond the schema's basic string type. However, with 0% schema description coverage and only one parameter, this provides moderate value but doesn't fully compensate for the lack of schema details like format constraints.

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 ('Get') and resource ('database usage statistics'), specifying the metrics (CPU, memory, disk). It distinguishes from many sibling tools by focusing on usage statistics, though it doesn't explicitly differentiate from similar monitoring tools like 'monitor_usage' or 'get_inference_usage'.

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?

No explicit guidance on when to use this tool versus alternatives is provided. The description mentions what it returns but doesn't specify prerequisites, appropriate contexts, or exclusions. Sibling tools like 'monitor_usage' or 'get_inference_usage' suggest potential overlaps without clarification.

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