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

With no annotations provided, the description carries the full burden. It discloses the core outputs (costs, GPUs needed, breakeven point) and the decision focus, but omits assumptions, limitations, or how the calculation uses inputs like throughput and utilization. This is adequate but not comprehensive.

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 short and efficient, but the first phrase repeats the tool name. The remaining sentences are purposeful and add value. No unnecessary words, though the title repetition slightly reduces the score.

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 7 required parameters, no annotations, and no output schema, the description should provide more context about how to use the calculator and what results are returned. It only lists three broad outputs and lacks guidance on units, assumptions, or how parameters interact, leaving the agent under-informed.

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 description coverage is 0%, yet the description does not explain any of the 7 input parameters. It only refers indirectly to 'rented GPUs' and 'per token' without mapping to names like throughputTokensPerSec, utilizationPct, or gpuHourlyUsd. Thus, it fails to compensate for the missing schema descriptions.

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 identifies the tool as a self-host vs API cost comparison calculator, with a specific verb ('Find') and resource ('monthly token volume where self-hosting... beats paying per token'). It also mentions outputs (costs, GPUs, breakeven) which distinguishes it from sibling calculators like llm_api_cost_calculator or llm_throughput_calculator.

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 use case is explicit: determine when self-hosting on rented GPUs is cheaper than API. However, it does not give explicit when-not-to-use guidance or name alternative tools that might be better for pure API cost or throughput analysis, so it stops short of a 5.

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