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

Annotations already declare readOnly, idempotent, openWorld, non-destructive, so the safety profile needs no restating. The description adds genuinely non-obvious behavior: data is pulled live from each exchange's public market-data API within the last minute, and specifying a GPU returns additional benchmark, provider-average, and per-exchange last-price/24h-volume data. The freshness guarantee and conditional expansion are valuable context beyond the annotations.

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?

Front-loaded with the core output (price index and changes) before the conditional extras, and every clause carries information. The second sentence is dense and slightly run-on, but nothing is redundant or filler.

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?

With no output schema, the description carries the burden of describing returns, and it does so reasonably: index values, 1D/1W/1M deltas, page links, and the fuller payload when a GPU is specified. The exact shape of the all-GPU response is only loosely sketched, which keeps this short of a 5.

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% and the enum is fully documented, so the baseline is 3. The description earns extra credit by explaining what the parameter changes in the response — passing a GPU value switches on benchmark contracts, standardized provider averages, and exchange-level data — which is semantics the schema alone does not convey.

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?

States a specific verb and resource: latest GPU rental price index in USD per GPU-hour with 1D/1W/1M changes and per-GPU links. This is clearly distinct from get_token_prices, but the description never names or differentiates itself from get_price_history, which is the closest-sounding sibling.

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 conditional 'Give one GPU to also get...' plus the schema note 'omit for all listed GPUs' implies how the optional parameter selects scope, so usage is inferable. However there is no explicit statement of when to call this versus get_price_history (e.g., current index vs. historical series), leaving the agent to guess.

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