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

With no annotations, the description carries the full behavioral burden. It discloses the 30-day snapshot data provenance, the ranking factors, and the critical trait that absence in the results is missing evidence, not a bad review. This is far beyond a generic purpose statement.

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 description is a single, information-dense sentence that front-loads the action and then efficiently packs in data source, ranking criteria, and output caveat. No word is wasted, and the structure is easy to parse.

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 simple two-parameter tool with no output schema, this is nearly complete: it explains the data source, ranking logic, and return philosophy. It could briefly mention the result shape, but the description already gives enough for an agent to select and use the tool correctly.

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 schema already describes both parameters fully (100% coverage), including default, max, and case-insensitive behavior. The description adds no parameter-specific semantics beyond overall ranking context, so the baseline of 3 is appropriate.

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 uses a specific verb ('Find') and resource ('x402 endpoints worth calling') and immediately details ranking criteria (paying buyers, call volume, listing duration, price hold). This makes its purpose unmistakable and clearly differentiates it from sibling tools like market_stats or bazaar_pulse.

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 provides clear context for when to use the tool—when ranking endpoints for outreach—and adds a useful interpretive caveat that the list is positive-only. However, it does not explicitly mention sibling tools or state when not to use this tool, so it falls just short of a 5.

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