estimate_maintenance_cost

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

No annotations are provided, so the description must carry the full burden. It lists included cost categories but does not disclose any behavioral traits (e.g., whether the estimation is read-only, if it requires permissions, or if it triggers any side effects). The description is adequate but not detailed.

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 with two short sentences. It front-loads the primary purpose and then lists what is included. No wasted words.

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 output schema exists, the description does not need to explain return values. It covers the tool's purpose, scope, and inputs adequately. All parameters are described in the schema.

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 100% (all 4 parameters described). The description adds context about cost categories but does not enhance understanding of individual parameters beyond the schema. Baseline 3 applies.

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 estimates 'all ongoing on-prem operational costs for a GPU cluster' and enumerates cost categories (power, cooling, etc.). This distinguishes it from sibling tools like 'estimate_inference_cost' and 'estimate_training_cost', which focus on compute costs for specific tasks.

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 is given on when to use this tool versus alternatives. The context implies it is for on-prem maintenance cost estimation, but there is no 'when-not-to-use' or comparison to siblings like 'compare_cloud_vs_onprem'.

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