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 mentions 'recommendations' but doesn't specify if this is a read-only analysis, whether it requires specific AWS permissions, what the output format is, or any rate limits. For a tool with 7 parameters and no annotation coverage, this is a significant gap in transparency.

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 that efficiently states the tool's purpose without unnecessary words. It's front-loaded and appropriately sized for a basic overview, though it could benefit from additional context given the complexity.

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 with an output schema), the description is incomplete. It doesn't explain the parameters, behavioral traits, or how it differs from siblings. While the output schema might cover return values, the description lacks essential context for proper tool selection and invocation in a server with many similar tools.

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 doesn't mention any parameters, failing to compensate for this gap. Parameters like 'region_name', 'retention_days', and AWS credentials are left unexplained, making it hard for an agent to understand their roles.

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 'Get recommendations for snapshot lifecycle management and cleanup,' which identifies the action (get recommendations) and resource (snapshot lifecycle). However, it's somewhat vague about what these recommendations entail and doesn't differentiate from sibling tools like 'find_unused_snapshots' or other cost optimization tools, leaving ambiguity about its specific scope.

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. With many sibling tools focused on cost optimization, snapshot analysis, and resource cleanup, there's no indication of prerequisites, context, or exclusions, making it unclear how this tool fits into the broader workflow.

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