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 mentions the action ('promote') and a return ('status message'), but fails to disclose critical traits like whether this is a destructive operation, requires specific permissions, has downtime implications, or involves rate limits. This leaves significant gaps for a mutation tool.

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 front-loaded with the main purpose in the first sentence, followed by brief sections for args and returns. It is appropriately sized with no wasted words, though the structure could be slightly more integrated for optimal flow.

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 complexity of a database promotion tool with no annotations, 0% schema coverage, and no output schema, the description is incomplete. It lacks details on behavioral implications, error conditions, and output specifics, making it inadequate for safe and effective use by an AI agent.

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 schema description coverage is 0%, but the description adds some value by explaining that 'database_id' refers to a 'read replica database ID or label', clarifying its purpose. However, it does not fully compensate for the lack of schema details, such as format or constraints, so it meets the baseline for minimal parameter information.

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 verb ('promote') and resource ('read replica to a standalone database'), making the purpose specific and understandable. However, it does not explicitly differentiate from sibling tools like 'create_read_replica' or 'fork_database', which are related but distinct operations, so it misses full sibling distinction.

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, such as when a read replica should be promoted or what prerequisites are needed. It lacks explicit context, exclusions, or references to sibling tools, offering minimal usage direction.

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