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. It discloses that the tool provides 'step-by-step mounting instructions and commands,' which is useful behavioral context. However, it doesn't mention potential side effects, permissions needed, rate limits, or error conditions, leaving gaps for a tool that likely interacts with system 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 well-structured and front-loaded with the core purpose, followed by specific details in bullet-like sections ('Args:', 'Returns:'). Every sentence adds value without redundancy, making it efficient and easy to parse.

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, but with an output schema), the description is mostly complete. It covers the purpose, parameter semantics, and return format. The output schema likely details the instructions structure, so the description doesn't need to explain return values further. Minor gaps include lack of error handling or platform-specific notes.

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 significant meaning beyond the input schema, which has 0% coverage. It explains that 'volume_identifier' accepts 'Volume label or ID' and mentions 'Smart identifier resolution,' clarifying the parameter's purpose and usage. With only one parameter, this is sufficient to compensate for the low schema coverage.

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 specific verb ('Get instructions') and resource ('mounting a block storage volume on Linux'), and distinguishes it from siblings by focusing on mounting instructions rather than general volume operations like 'attach' or 'get_volume_status'.

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 implies usage context through 'Smart identifier resolution: Use volume label or ID,' suggesting when to use this tool for mounting instructions. However, it lacks explicit guidance on when to choose this over alternatives like 'attach' or 'get_volume_status,' and no prerequisites or exclusions are mentioned.

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