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. The description only states the purpose without any behavioral traits: it doesn't specify if this is a read-only operation, what data sources it uses (e.g., CloudWatch logs), potential side effects, authentication requirements, rate limits, or output format. For a tool with 7 parameters related to AWS access, this lack of transparency is a significant gap.

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 zero waste. It's appropriately sized for a simple purpose statement and front-loaded with the core action ('Analyze Lambda functions for cold start issues'). There's no unnecessary elaboration or redundancy.

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, AWS-related tool) and the presence of an output schema (which might help with return values), the description is incomplete. It lacks essential context: no behavioral details (critical with no annotations), no parameter explanations (with 0% schema coverage), and no usage guidelines. While the output schema might cover return values, the description fails to provide enough information for effective tool selection and invocation in a multi-tool environment.

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 description adds no information about any parameters—it doesn't mention region, period, or authentication details. With 0% coverage and no compensation in the description, the parameters remain undocumented, making it difficult for an agent to understand their purpose or 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's purpose as analyzing Lambda functions for cold start issues, which is clear but vague. It specifies the resource (Lambda functions) and the type of analysis (cold start issues), but lacks specificity about what 'analyze' entails (e.g., identifying, measuring, or reporting). It distinguishes from siblings by focusing on Lambda cold starts, but doesn't clarify how it differs from similar tools like 'analyze_lambda_performance' (not in the list) or 'find_underutilized_lambda_functions' (which might overlap).

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., AWS credentials setup), context (e.g., performance troubleshooting), or exclusions (e.g., not for cost analysis). Given the sibling tools include various analysis and optimization tools, there's no indication of when this specific cold start analysis is preferred over others like 'get_cost_optimization_lambda' or general performance tools.

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