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

No annotations are provided, so the description carries the full burden. It does disclose real behavioral context by specifying that results are 'observed' listings drawn from 'free-first sources', which hints at data provenance and source-priority behavior. It stops short of covering freshness, rate limits, auth needs, or what happens when no listings exist.

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 front-loaded sentence with zero filler. The scope qualifier follows immediately after the core action, so nothing needs re-reading.

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 values needn't be explained, but the tool still has two parameters at 0% schema coverage and no annotations. One sentence is insufficient to cover either parameter semantics or when this tool should be selected over its numerous siblings.

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, and it largely does not. 'GPU listings' faintly implies the required 'gpu' parameter, but the 'count' parameter (default 1) is entirely unexplained in both schema and description, leaving the agent to guess its meaning and limits.

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 gives a clear verb and resource ('Return observed GPU listings') plus a scope qualifier ('from free-first sources'), which distinguishes it from siblings like gpufeed_get_cheapest or gpufeed_get_history. However, 'observed' and 'free-first' are left undefined, and no sibling is named explicitly, so the differentiation is implied rather than stated.

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?

There is no when-to-use guidance, no conditions, and no named alternative among the many gpufeed siblings (get_cheapest, compare_providers, recommend). 'Free-first sources' hints at a sourcing policy but tells the agent nothing about when this tool is the right choice.

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