Vultr MCP

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

No annotations are provided, so the description carries full burden. It mentions the tool 'Returns: List of matching subaccounts' which gives basic output information, but lacks critical behavioral details: whether this is a read-only operation, if it requires specific permissions, how it handles partial/no matches, rate limits, or authentication requirements. For a search tool with zero annotation coverage, this leaves significant 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 efficiently structured with a clear purpose statement followed by Args and Returns sections. Every sentence earns its place, though the 'Args' and 'Returns' labels could be more integrated. The information is front-loaded with the core purpose first, making it easy to scan.

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 single-parameter search tool with no annotations and no output schema, the description provides basic purpose and parameter documentation. It covers what the tool does and what it returns, but lacks important context about search behavior (exact vs partial matching, case sensitivity), error handling, and how it differs from similar search tools. The absence of annotations means more behavioral disclosure would be beneficial.

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?

Schema description coverage is 0%, so the schema provides no parameter documentation. The description adds value by documenting the single parameter: 'email: Email address to search for'. This clarifies the parameter's purpose and format beyond the bare schema. However, it doesn't specify email format requirements, case sensitivity, or validation rules that would be helpful for a search parameter.

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: 'Find subaccounts by email address.' It specifies the verb ('Find'), resource ('subaccounts'), and search criteria ('by email address'). However, it doesn't explicitly differentiate from sibling tools like 'find_by_name' or 'find_by_region', which follow similar patterns but search by different attributes.

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. With sibling tools like 'find_by_name' and 'find_by_region' available, there's no indication of when email-based searching is appropriate versus name-based or region-based searching. No prerequisites, exclusions, or comparison to other search methods are mentioned.

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