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

Annotations already declare readOnlyHint=true, destructiveHint=false, openWorldHint=false, so the safety profile is covered. The description adds genuinely non-redundant behavior: this is a paid call ($0.05 USDC on Base via x402) and you must first call it to receive the payment challenge. That payment/auth flow is valuable context the annotations cannot convey. It does not disclose the response shape.

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?

The text is corrupted: it cuts off mid-word at 'n_te', splices in the payment line, then dumps a long inline example and truncates at '20'. Structure is poor and forces the reader to reassemble the intent, though the gate list is front-loaded.

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?

There is no output schema, so the description should explain what the three-gate verdict returns; it lists the gates but never states the output form. The payment flow is covered, and the input example is present, making it minimally adequate but incomplete for a no-output-schema 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 reported as 100%, but the parameter 'descriptions' are only truncated examples rather than semantic definitions; the description adds no meaning beyond repeating 'n_tested' and a sample payload. With coverage nominally complete, the baseline of 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 names the concrete analysis ('multiple-testing selection, deflated Sharpe, date-clustered t') and frames the verdict question, so an agent can tell what it computes. It is stronger than the bare name 'judge-lite' and distinguishable from siblings like deflatedsharpe or multipletest, though the mid-sentence corruption ('n_te PAID: $0.05 USDC on Base via x402') blurs the statement of purpose.

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?

It gives explicit triggering context: 'Use when your agent has a backtest, a research result, or any return series that looks good ... before spending money on it.' That is a clear when-to-use condition. It does not name when-not-to-use or point to the single-gate siblings (deflatedsharpe, multipletest) as cheaper alternatives.

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