AWS FinOps MCP Server

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It only states the action ('analyze') without detailing what the analysis entails (e.g., read-only vs. destructive, authentication requirements, rate limits, or output format). For a tool with 7 parameters and no annotation coverage, this is a significant gap in transparency about how the tool behaves.

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 a single, efficient sentence with no wasted words. It is appropriately sized for a basic statement of purpose, though it lacks depth. The structure is straightforward, but the brevity contributes to under-specification rather than optimal clarity.

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 (7 parameters, no annotations, but an output schema exists), the description is incomplete. It doesn't explain what the analysis outputs, how parameters interact, or behavioral traits. While the output schema may cover return values, the description fails to provide necessary context for selecting and invoking the tool effectively, especially compared to detailed sibling tools.

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%, meaning none of the 7 parameters have descriptions in the schema. The tool description does not mention any parameters, failing to compensate for this gap. Parameters like 'region_name', 'period', and authentication fields ('profile_name', 'role_arn', etc.) are left unexplained, leaving the agent to guess their purposes and usage.

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 the tool analyzes RDS Performance Insights data, which provides a clear verb ('analyze') and resource ('RDS Performance Insights data'). However, it lacks specificity about what kind of analysis it performs (e.g., identifying bottlenecks, generating reports, or providing metrics) and doesn't distinguish it from sibling tools that also analyze AWS resources. The purpose is understandable but vague.

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. With many sibling tools focused on AWS analysis (e.g., 'analyze_dynamodb_throttling', 'find_overutilized_rds_instances'), there's no indication of whether this tool is for performance monitoring, cost optimization, or troubleshooting. No prerequisites, exclusions, or comparative context are mentioned.

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