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

With no annotations, the description carries the full burden and does disclose meaningful traits: prices are hourly, sourced from RunPod, cover two cloud tiers and two purchase modes, and are returned cheapest first. Freshness/caching and currency are unstated, which is the main residual gap for a read-only price lookup.

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?

One sentence front-loads the resource and provider, then packs coverage, ordering, and intent without a wasted clause. Nothing could be removed without losing signal.

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?

An output schema exists, so return shape needs no explanation, but with 0% schema coverage the description should still cover the two inputs and at least note the default sort is fixed (no sort/filter controls exposed). Adequate for a simple lookup but incomplete on the parameter side.

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%, so the description must compensate. The GPU SKU list gives implicit valid values for the `gpu` filter, but the `min_memory_gb` parameter is never mentioned, nor is how the two filters combine or what an empty result means.

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?

Names a specific resource (hourly GPU rental prices) plus the provider (RunPod), the pricing tiers (secure/community, on-demand/spot), and the covered GPU SKUs, which separates it from aws_ec2_prices and azure_vm_prices by implication. It stops short of an explicit sibling call-out, so a 4 rather than a 5.

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?

"Use to budget training or inference" gives a use case but no when-to-use-vs-alternative guidance; an agent comparing cloud compute costs has no statement of why it would pick this over aws_ec2_prices or azure_vm_prices. Usage is implied through the provider list rather than stated.

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