create_rightsizing_tickets

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

No annotations are provided, so the description must disclose behavioral traits. It lacks information on side effects (e.g., does it actually create tickets in an external system, authentication needs, idempotency, or error handling). The name hints at a write operation, but details are missing.

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 concise and well-structured, with a clear main paragraph, Args section, and Examples. Every sentence adds value without redundancy.

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 simple tool with 2 parameters and no output schema, the description covers the basics. However, it omits the output format (e.g., success message, ticket IDs) and the target system (Jira/Linear as hinted in examples), requiring additional inference.

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 the description provides meaningful parameter descriptions: min_monthly_savings (threshold with default $100/mo) and provider (default aws). This compensates for the schema gap.

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 it creates tickets for rightsizing recommendations, specifically mentioning over-provisioned EC2, RDS, and other resources. This distinguishes it from sibling audit tools like audit_aws_waste or create_anomaly_tickets.

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 parameters are documented with defaults, but there is no explicit guidance on when to use this tool versus alternatives like create_anomaly_tickets or create_kubernetes_waste_tickets. The context of rightsizing is implied but not clarified.

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