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 finds tables but doesn't explain how it determines 'low capacity utilization' (e.g., thresholds, metrics like read/write capacity), what the output includes (though an output schema exists), whether it requires specific AWS permissions, or if it has side effects like API rate limits. For a tool with 7 parameters and no annotations, this leaves significant behavioral gaps.

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, clear sentence: 'Find DynamoDB tables with low capacity utilization.' It is front-loaded with the core purpose, has zero redundant words, and efficiently communicates the essential action without unnecessary elaboration. This is an example of optimal conciseness.

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, schema coverage 0%) and the presence of an output schema, the description is incomplete. It doesn't address parameter meanings, behavioral details like how 'low utilization' is defined, or usage context. While the output schema may cover return values, the description fails to provide enough context for effective tool selection and invocation, especially compared to richer sibling tools in the list.

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 schema description coverage is 0%, meaning none of the 7 parameters have descriptions in the schema. The tool description adds no parameter information beyond what's implied by the tool name (e.g., it doesn't explain what 'region_name', 'period', or authentication parameters like 'profile_name' are used for). With 7 undocumented parameters and no compensation in the description, this is inadequate for understanding inputs.

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's purpose: 'Find DynamoDB tables with low capacity utilization.' It specifies the verb ('Find') and resource ('DynamoDB tables') with a specific criterion ('low capacity utilization'). However, it doesn't explicitly differentiate from sibling tools like 'find_overutilized_dynamodb_tables' or 'find_unused_dynamodb_tables', which would require mentioning contrasting conditions (e.g., 'low' vs. 'high' or 'underutilized' vs. 'unused').

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 sibling tools like 'find_overutilized_dynamodb_tables' or 'find_unused_dynamodb_tables', nor does it specify prerequisites, context (e.g., cost optimization scenarios), or exclusions. The agent must infer usage from the tool name alone, which is insufficient for clear decision-making.

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