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 states the tool 'gets' recommendations, implying a read-only operation, but doesn't specify whether it requires authentication, what data it accesses (e.g., S3 usage metrics, cost reports), potential rate limits, or the format of the output. For a tool with 6 parameters and no annotation coverage, this leaves significant gaps in understanding its behavior and constraints.

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, making it highly concise. It front-loads the core purpose ('Get S3 storage class optimization recommendations') without unnecessary elaboration. Every word earns its place by directly stating the tool's function, though this brevity contributes to gaps in other dimensions.

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 complexity (6 parameters, AWS-related operation) and lack of annotations, the description is insufficiently complete. It doesn't cover authentication needs, input requirements, or behavioral traits. While an output schema exists (which might explain return values), the description doesn't address critical context like when to use the tool, what the recommendations entail, or how parameters interact, leaving the agent with inadequate guidance for effective tool selection and invocation.

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 6 parameters are documented in the schema. The description adds no information about parameters, failing to compensate for this gap. It doesn't explain what 'region_name', 'profile_name', or other AWS credential parameters are for, their relationships, or which are required for the tool to function. With 0% coverage and no param details in the description, the baseline cannot be met.

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 'Get S3 storage class optimization recommendations' clearly states the verb ('Get') and resource ('S3 storage class optimization recommendations'), making the purpose understandable. However, it lacks specificity about what these recommendations entail (e.g., cost savings, performance improvements) and doesn't distinguish itself from sibling tools like 'get_cost_optimization_ec2' or 'get_ebs_volume_type_recommendations', which are similar recommendation tools for other AWS services.

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 (e.g., needing AWS credentials), specific use cases (e.g., cost analysis, performance tuning), or how it differs from sibling tools like 'get_all_cost_optimization_recommendations' or 'analyze_data_transfer_costs', which might overlap in purpose. Without such context, an agent must infer usage from the tool name alone.

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