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. While it mentions the threshold (>80%), it doesn't describe what 'high utilization' means operationally, how the data is collected (e.g., CloudWatch metrics), time aggregation methods, whether this requires specific IAM permissions, or what the output format looks like. For a monitoring/analysis tool with zero annotation coverage, this is insufficient.

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 (one sentence) and front-loaded with the core purpose. Every word earns its place, and there's no wasted text. It efficiently communicates the essential function without unnecessary elaboration.

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 has output schema), the description is incomplete. While the output schema might cover return values, the description doesn't explain authentication requirements, data source, metric collection methodology, or parameter meanings. For a tool that likely requires AWS credentials and specific permissions, this leaves critical gaps for an AI agent.

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 description provides zero information about any of the 7 parameters. With 0% schema description coverage, the description fails completely to compensate for the lack of parameter documentation. Parameters like 'profile_name', 'role_arn', and authentication credentials remain completely unexplained in the description.

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 with specific verbs ('Find') and resources ('ElastiCache clusters'), and it distinguishes itself from siblings by specifying the exact condition (>80% CPU or memory utilization). It's not a tautology and provides meaningful differentiation from tools like 'find_underutilized_elasticache_clusters' or general analysis tools.

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, timing considerations, or how it differs from other tools that might analyze ElastiCache clusters. With many sibling tools available, this lack of contextual guidance 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.