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 public S3 buckets but doesn't describe how it works (e.g., scans all buckets, checks permissions), what it returns (e.g., list of bucket names, details), or any constraints (e.g., rate limits, authentication requirements). For a tool with 6 parameters related to AWS authentication, this is inadequate.

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 extremely concise—a single sentence with no wasted words. It's front-loaded with the core purpose, making it easy to scan. Every word earns its place by specifying the action, resource, and condition.

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 (6 authentication parameters, no annotations, but an output schema exists), the description is incomplete. It doesn't address authentication needs, explain the tool's scope (e.g., all buckets in an account), or hint at the output format. While the output schema may cover return values, the description fails to provide essential context for a tool interacting with AWS resources.

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 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 authentication parameters mean or how they affect the tool's behavior, leaving them entirely undocumented.

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 S3 buckets with public access enabled.' It specifies the verb ('Find') and resource ('S3 buckets'), and the condition ('with public access enabled'). However, it doesn't explicitly differentiate from sibling tools like 'find_unencrypted_s3_buckets' or 'find_unused_s3_buckets', which also operate on S3 buckets but for different purposes.

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), context (e.g., security auditing), or exclusions (e.g., when to use other 'find' tools for S3 buckets). With many sibling tools focused on AWS resource analysis, this lack of differentiation is a significant gap.

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