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

Annotations already declare readOnlyHint, idempotentHint, non-destructive and closed-world, so the safety profile is fully covered. The description adds the shape of the response (price range stats, provider count, cheapest offer) but says nothing about ordering, pagination or freshness, which is the remaining behavioral gap.

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?

A single well-formed sentence, front-loaded with the verb and resource, with the return fields packed into a compact clause. Nothing is wasted, though the parenthetical adds slight density.

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?

There is no output schema, so the description must convey return values and it does, naming the key fields. It omits ordering, pagination and whether results are live or cached, which keeps it short of full completeness for a listing tool.

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?

The tool takes zero parameters, so there is nothing for the description to disambiguate; baseline 4 applies. The parenthetical clarifying the unit as USD per GPU-hour is a small useful touch for interpreting the returned range.

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 uses a specific verb and resource ("List every tracked cloud GPU") and enumerates the returned fields, so the agent knows this is a catalog-wide read. It stops short of naming how it differs from siblings like cheapest_gpu or get_prices, which is the only gap.

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?

Usage is only implied: "every tracked" suggests this is the full enumeration, implicitly contrasted with the cheapest-offer sibling. There is no explicit when-to-use or when-not-to-use statement, so the agent must infer the choice.

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