gpu_refresh_quota

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

With no annotations, the description carries the full load; it does disclose an important caveat that mock data are test fixtures rather than a live account, which is genuinely useful behavioral context. However, it omits whether the call performs a network round-trip, hits rate limits, mutates cached state, or requires auth — all relevant for a refresh operation.

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?

Two short sentences, both front-loaded with the operative information and zero padding. The caveat and the sibling equivalence each earn their place.

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-value explanation is not required, and the mock-data caveat covers scope. What remains missing is guidance on the two undocumented filter parameters and on the cost/side effects of a refresh, making it only minimally adequate for a zero-annotation 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?

Schema description coverage is 0% for the two optional parameters (account, provider), and the description says nothing about them — no expected identifier format, no statement of what happens when they are omitted (all accounts? default provider?). The description fails to compensate for the documentation gap.

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+resource ('Refresh quota snapshots') and adds the equivalence to gpu_get_quota(..., refresh=True), which lets an agent distinguish it from the plain read sibling. It is not a tautology, but it never says what a 'quota snapshot' contains or what refreshing changes.

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 equivalence note implies the selection rule (use this instead of gpu_get_quota when you want fresh data), but that is inferred rather than stated. There is no explicit when-to-use / when-not-to-use sentence or named alternative.

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