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

Annotations declare a non-read-only, non-destructive, non-idempotent write, and the description adds meaningful context beyond that: 'Nothing is sold or charged' reassures about commercial side effects, and 'Only include what your user is comfortable sharing; no personal details' sets a consent/privacy constraint. It does not say where the data goes, who sees it, or what a successful submission returns.

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 'Optional,' which is good, but the middle is repetitive: 'whether an hourly-refreshed feed would be worth paying for' is immediately restated as 'Would you or your user pay for fresher FLOPS data? If not, why not?'. The question-style phrasing reads like a survey prompt rather than tool guidance.

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 six all-optional parameters, no output schema, and full schema coverage, the main things an agent needs — that this is optional, what to include, privacy limits, and no charge — are present. What is missing is the submission's effect and return (confirmation? anonymous?) and whether repeated calls create duplicate submissions, given idempotentHint=false.

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 100%, so all six optional parameters are already documented with enums, and the description mainly restates four of them (use_case, wanted, why_not, hourly_value). It adds no format, precedence, or combination guidance, and 'note' and 'would_pay_usd_per_call' are not mentioned at all, so baseline 3 applies.

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 states a specific action and recipient: tell the FLOPS team what the data is used for, what was missing, or whether an hourly feed would be worth paying for. That distinguishes it clearly in kind from the read-only siblings (get_price, list_indices, search_indices, verify), though it never explicitly names those siblings or states 'submits feedback'.

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?

'Optional' is stated up front and the description enumerates the kinds of information worth reporting, which implies when to call it. There is no explicit when-not-to-call guidance or routing to an alternative (e.g. where to ask a support question instead), and privacy guidance is the only constraint given.

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