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 for behavioral disclosure. It states this is a read operation ('Get information'), implying it's non-destructive, but doesn't cover authentication needs, rate limits, error conditions, or what 'Connection pool information' includes (e.g., configuration details, status). 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, using a clear heading and bullet points for Args and Returns. It avoids unnecessary words, though the 'Args' and 'Returns' sections could be integrated more smoothly. Every sentence serves a purpose, making it efficient for quick comprehension.

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 (2 required parameters, no output schema, no annotations), the description is minimally adequate. It covers the basic purpose and parameters but lacks details on usage context, behavioral traits, and output structure. Without annotations or an output schema, the agent must guess about permissions, errors, and return values, leaving room for improvement in completeness.

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 schema provides no parameter documentation. The description adds minimal value: it names the parameters ('database_id', 'pool_name') and states they're for identifying a specific pool, but doesn't explain formats (e.g., ID vs. label), examples, or constraints. This partially compensates for the schema gap but remains basic, aligning with the baseline when schema coverage is low.

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 information about a connection pool.' It specifies the verb ('Get') and resource ('connection pool'), making the intent unambiguous. However, it doesn't explicitly differentiate from sibling tools like 'list_connection_pools' or 'create_connection_pool', which would require more specific scope details.

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, appropriate contexts, or compare it to related tools like 'list_connection_pools' (which might retrieve multiple pools) or 'update_connection_pool' (which modifies pools). The agent must infer usage from the name alone.

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