get_traffic_cost_breakdown

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

No annotations are provided, so the description must fully disclose behavior. It states the tool pulls Cost Explorer and classifies network line items, implying read-only analytics. It does not mention rate limits, permissions, or side effects. It does disclose the AWS-only limitation and the analytical nature (breakdown + playbook), which adds useful context but lacks depth on data freshness or cost scope.

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 well-structured: a concise summary sentence, followed by detailed breakdown logic, then clear argument documentation, and finally example queries. Every sentence adds value without unnecessary fluff, making it easy to parse quickly.

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 tool's complexity (two-level breakdown, playbook, AWS-only) and no output schema, the description covers purpose, input parameters, scope, and examples. It could be more explicit about the return format or units, but it provides enough for an agent to understand what the tool does and what it returns.

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?

With only one parameter (days) and 0% schema description coverage, the description adds significant value: 'Args: days: Look-back window in days (default 30).' This clarifies the parameter's purpose and default beyond the schema's minimal 'title' attribute, making it clear to the agent how to set it.

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 breaks down AWS network/data-transfer spend into internal vs external categories, with per-scope breakdowns and a ranked solve playbook. It explicitly mentions the source (Cost Explorer) and the classifier. This distinguishes it from sibling tools like get_data_transfer_costs or get_cost_summary by focusing on traffic cost decomposition with actionable recommendations.

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 example queries that indicate when to use the tool, such as 'How much are we spending on network traffic and where is it going?' and 'What's our internal vs external data transfer cost?' It also states the current AWS-only scope, implying it's not for GCP/Azure. However, it does not explicitly contrast with alternatives or state when not to use it, leaving some ambiguity.

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