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 of behavioral disclosure. It states this is a read operation ('Get'), implying it's non-destructive, but doesn't mention authentication requirements, rate limits, error conditions, or what 'detailed information' includes. For a tool with zero annotation coverage, this leaves significant gaps in understanding its 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 concise, with a clear purpose statement followed by 'Args' and 'Returns' sections. Each sentence adds value without redundancy. It's appropriately sized for a single-parameter tool, though the 'Returns' section is somewhat vague ('Detailed application information').

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 (1 parameter, no output schema, no annotations), the description is moderately complete. It covers the basic purpose and parameter semantics but lacks behavioral details and usage guidelines. For a read operation, this might be minimally adequate, but it doesn't fully address what the tool returns or how to handle errors, leaving room for improvement.

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 some semantic context for the single parameter 'app_id', explaining it can be 'The application ID, name, short_name, or image_id (e.g., "wordpress", "openlitespeed-wordpress")'. This provides examples and clarifies acceptable formats, which is valuable since schema description coverage is 0%. However, it doesn't fully compensate for the lack of schema descriptions, as it doesn't detail constraints or validation rules.

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: 'Get detailed information about a specific application.' It specifies the verb ('Get'), resource ('application'), and scope ('detailed information about a specific application'). However, it doesn't explicitly differentiate from sibling tools like 'get' or 'list_applications', which likely serve different purposes (general retrieval vs. listing multiple applications).

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. It doesn't mention prerequisites, context for usage, or compare it to sibling tools such as 'get' (which might be more general) or 'list_applications' (which likely lists multiple applications). The agent must infer usage from the name and description alone.

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