get_costs_by_team

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

No annotations provided, so description carries full burden. Mentions tag attribution and required configuration, but omits details like data latency, cost type (amortized vs upfront), or authorization steps.

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?

Efficiently structured with purpose, requirements, args, and examples. No redundant sentences; front-loaded with core purpose.

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 zero annotations and no output schema, description covers purpose, prerequisites, parameters, and usage examples. Missing return format and edge case handling, but sufficient for basic invocation.

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 coverage is 0%, but description documents three parameters with defaults and brief descriptions (ISO date, filter by provider). Lacks format constraints or value examples for provider, but provides functional guidance.

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?

Specifically states 'Return cloud costs broken down by engineering team' using tag attribution rules, clearly distinguishing it from sibling tools like get_costs_by_service or get_cost_summary.

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?

Lists prerequisites (tag rules, specific providers) and provides three example questions, guiding when to use. Lacks explicit 'when-not-to-use' or alternatives, but requirements are clear.

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