Vultr MCP

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description carries full burden but offers minimal behavioral insight. It mentions the tool returns 'detailed cost analysis including projections and recommendations' but doesn't disclose whether this is a read-only operation, what permissions are needed, whether it has side effects, rate limits, or how projections are calculated. For a tool with no annotation coverage, this is inadequate.

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 clear sections for Args and Returns. The first sentence states the core purpose, followed by parameter details. There's minimal redundancy, though the 'Args' and 'Returns' labels are slightly redundant with the schema context.

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 2 parameters with 0% schema coverage and no output schema, the description provides basic parameter semantics and return value overview but lacks details about the analysis methodology, output format, error conditions, or authentication requirements. For a cost analysis tool with no annotations, this leaves significant gaps in understanding how to interpret results.

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 explains that 'subaccount_id' can be ID, name, email, or UUID and 'analysis_days' has a default of 30 days, adding useful semantic context beyond the bare schema. However, it doesn't cover parameter constraints, formats, or validation rules that would be needed for full understanding.

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 analyzes costs and usage patterns for a subaccount, specifying the resource (subaccount) and action (analyze costs/usage patterns). It distinguishes from some siblings like 'get_cost_analysis' or 'analyze_spending_trends' by focusing on subaccount-level analysis, though the distinction could be more explicit.

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 'get_cost_analysis', 'analyze_spending_trends', or 'analyze_kubernetes_cluster_costs'. It mentions the subaccount focus but doesn't explain why one would choose this over other cost-related tools in the sibling list.

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