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

No annotations are provided, so the description carries the full behavioral burden. It discloses only the billing/trial detail ('5 free trial calls per signed wallet'), and says nothing about how the computation behaves, whether the list is sorted/trimmed internally, what the output looks like, or what happens on insufficient data.

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?

It is short and front-loaded, but the second sentence is a marketing/pricing blurb rather than functional information, and the space it occupies would have been better used on input format or usage 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?

For a one-parameter computational tool with no annotations and no output schema, the definition should at minimum specify the input encoding and what result is returned. Neither is covered, leaving the agent to guess at both.

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?

The single 'values' parameter is a string with 0% schema description coverage, and the description never states the expected format (comma-separated list? JSON array? whitespace-delimited?), so an agent has no way to know how to pass input correctly.

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 name and description identify a specific statistic (interquartile mean), but the description itself is circular — 'Mean of interquartile' simply restates the title without defining the measure or how it differs from close siblings like x402-trimmed-mean, x402-median, or x402-mean-of.

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 at all: no indication of when an interquartile mean is preferable to a plain mean, trimmed mean, or median, and no note of prerequisites or alternatives among the many sibling statistics tools.

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