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 analyzes for throttling issues, implying a read-only diagnostic operation, but doesn't specify what the analysis entails (e.g., metrics examined, timeframes, output format), whether it requires specific AWS permissions, or if it has side effects like data collection. 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, efficient sentence: 'Analyze DynamoDB tables for throttling issues.' It's front-loaded with the core action and resource, with zero wasted words. This is appropriately concise for a tool name that already hints at the function, though the 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 complexity (7 parameters, no annotations, but an output schema exists), the description is incomplete. While the output schema may cover return values, the description lacks context on authentication needs (multiple credential parameters), analysis scope, or behavioral traits. For a diagnostic tool with many parameters, more guidance is needed to help an agent use it effectively.

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 input schema has 7 parameters with 0% description coverage (only titles like 'Region Name', 'Period'), so the description must compensate. However, it adds no parameter information beyond what's implied by the tool's purpose (e.g., 'region_name' for AWS region, 'period' for analysis duration). It doesn't explain parameter interactions, defaults, or why multiple authentication options exist. With low schema coverage, the description fails to provide adequate semantic context.

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 'Analyze DynamoDB tables for throttling issues' clearly states the verb ('analyze'), resource ('DynamoDB tables'), and purpose ('for throttling issues'), which is adequate. However, it doesn't distinguish this tool from its many siblings (e.g., 'find_overutilized_dynamodb_tables', 'find_underutilized_dynamodb_tables', 'find_unused_dynamodb_tables'), which all involve analyzing DynamoDB tables for different issues. The purpose is clear but lacks sibling differentiation.

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, permissions), specific scenarios for throttling analysis, or how it differs from other DynamoDB-related tools in the sibling list. Without such context, an agent must infer usage from the name alone, which is insufficient.

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