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 of behavioral disclosure. It states the tool creates a copy but doesn't mention whether this is a destructive operation on the source, what permissions are required, whether it incurs additional costs, how long it takes, or what happens if parameters are invalid. For a mutation tool with zero annotation coverage, this is a significant gap in transparency.

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 parameter and return sections. Every sentence serves a purpose: the first explains the tool's function, and the subsequent lines document inputs and outputs. It could be slightly more front-loaded by integrating parameter hints into the main description, but overall it's well-organized with minimal waste.

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 complexity (5 parameters, mutation operation), no annotations, and no output schema, the description is moderately complete. It covers the basic purpose and parameters but lacks behavioral details (costs, timing, permissions) and output specifics. For a database forking operation, more context about what 'Information about the forked database' includes would be helpful, making this adequate but with clear gaps.

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 description must compensate. It lists all 5 parameters with brief explanations that add meaningful context beyond the schema's type definitions (e.g., 'source database ID or label', 'Region for the new database'). This clarifies what each parameter represents, though it doesn't provide format details, constraints, or examples. Given the coverage gap, this is strong compensation.

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 action ('Fork a database') and outcome ('to create a copy'), which is specific and unambiguous. It distinguishes this from siblings like 'create_logical_database' or 'create_read_replica' by focusing on copying an existing database. However, it doesn't explicitly differentiate from 'restore_from_backup' or other copy-like operations, preventing a perfect score.

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 like 'create_logical_database', 'create_read_replica', or 'restore_from_backup'. It lacks context about prerequisites (e.g., source database must exist), cost implications, or typical use cases (e.g., testing, migration). This leaves the agent without direction on appropriate usage scenarios.

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