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 applications' which gives basic output information, but lacks critical behavioral details: whether this is a read-only operation, if it requires authentication, how results are sorted/paginated, what happens with no matches, or performance characteristics. The description doesn't adequately compensate for the missing annotations.

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 appropriately sized. It starts with a clear purpose statement, then documents parameters in a clean Args section, and concludes with return information. Every sentence serves a purpose without redundancy. The only minor improvement would be integrating the parameter explanations more seamlessly rather than using section headers.

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 (3 parameters, no output schema, no annotations), the description is adequate but has gaps. It covers parameters well and states the return type, but lacks behavioral context about permissions, pagination, error conditions, or performance. For a search tool that likely interfaces with a database or API, more operational details would be helpful for an AI agent to use it effectively.

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?

With 0% schema description coverage, the description must compensate for the schema's lack of parameter documentation. It successfully explains all three parameters: 'search_term' searches names and descriptions, 'app_type' filters by specific types with examples, and 'vendor' filters by vendor name. This provides meaningful context beyond the bare schema types, though it doesn't specify format requirements or 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: 'Search applications by name, description, or other criteria.' It specifies the verb ('search') and resource ('applications'), making the intent unambiguous. However, it doesn't explicitly differentiate from sibling tools like 'list_applications' or 'get_applications_by_vendor', which might offer similar functionality.

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 many sibling tools like 'list_applications', 'get_applications_by_vendor', and 'list_marketplace_applications', there's no indication of when this search tool is preferred over those listing tools or what specific scenarios it's designed for.

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