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 only states it 'analyzes' and returns 'trends and recommendations'. It doesn't disclose behavioral traits such as whether it's read-only, requires specific permissions, has rate limits, or what 'recommendations' entail. This leaves significant gaps for a tool that presumably processes financial data.

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 brief purpose statement followed by 'Args' and 'Returns' sections. It's front-loaded and avoids unnecessary verbosity, though the 'Args' and 'Returns' formatting could be more integrated into natural language for better 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 no annotations, no output schema, and low schema coverage, the description is incomplete. It doesn't explain the format of 'Spending analysis with trends and recommendations', potential error conditions, or behavioral constraints, making it inadequate for a tool that likely involves data analysis and recommendations.

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 that 'months' is 'Number of months to analyze (default: 6)', which provides basic semantics. However, with 0% schema description coverage and only one parameter, this minimal addition doesn't fully compensate for the lack of schema details, but it meets the baseline for a single parameter tool.

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 states 'Analyze spending trends over the past months' which provides a clear verb ('analyze') and resource ('spending trends'), but it's somewhat vague about what exactly 'analyze' entails. It doesn't distinguish from sibling tools like 'analyze_costs' or 'get_cost_analysis', leaving ambiguity about its specific scope.

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?

No guidance is provided on when to use this tool versus alternatives like 'analyze_costs' or 'get_cost_analysis'. The description lacks context about prerequisites, appropriate scenarios, or exclusions, offering only a basic functional statement without usage differentiation.

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