AWS FinOps MCP Server

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description carries full burden but offers minimal behavioral insight. It mentions 'optimizing' and 'usage patterns,' hinting at analysis, but doesn't disclose whether this is a read-only operation, requires specific AWS permissions, involves data processing, or has rate limits. For a tool with 6 parameters and no annotation coverage, 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 a single, efficient sentence that directly states the tool's purpose without redundancy. It's front-loaded with the core action and resource, making it easy to parse, though its 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 (6 parameters, no annotations, but an output schema exists), the description is insufficient. It doesn't address parameter needs, behavioral traits, or usage context. While the output schema may cover return values, the description lacks essential details for proper tool invocation and understanding in a server with many sibling 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?

Schema description coverage is 0%, and the description adds no information about any of the 6 parameters (e.g., region_name, profile_name). It doesn't explain what inputs are needed for 'usage patterns' or how authentication parameters relate to the tool's function. The description fails to compensate for the complete lack of schema documentation.

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 action ('Get recommendations') and target resource ('EBS volume types') with the purpose 'for optimizing... based on usage patterns.' It distinguishes from siblings like 'find_ebs_volumes_with_old_types' by focusing on recommendations rather than identification, though it doesn't explicitly contrast with 'get_cost_optimization_ebs' 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?

No explicit guidance on when to use this tool versus alternatives like 'get_cost_optimization_ebs' or 'find_ebs_volumes_with_old_types' is provided. The description implies usage when optimizing EBS volumes, but lacks context on prerequisites, timing, or exclusions, leaving the agent to infer based on tool name alone.

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