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

The annotations already declare this as a safe, idempotent, read-only, open-world operation. The description adds meaningful behavioral context beyond that: only countries with active listings are returned, and each result includes counts of escort and venue listings.

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 tightly written sentences with no waste. The result content is stated first, followed by the practical downstream usage note, making the description front-loaded and easy to scan.

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 parameterless, read-only listing tool with no output schema and full annotation coverage, the description is complete. It explains the scope of returned countries, includes what each result contains, and guides how to use the output.

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 tool has zero parameters, so the baseline is 4. The schema is also empty and fully covered; the description's mention of country codes is useful contextual guidance rather than parameter semantics.

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 verb and resource: list countries with active EscortFox listings, including counts of escort and venue listings. It clearly distinguishes this top-level enumeration from sibling tools by explaining how the returned country codes feed into list_cities and search_listings.

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 clear downstream usage guidance: use a country code as `country` in list_cities and search_listings. That effectively positions this as the starting point for country-scoped queries, though it does not explicitly state when not to use it.

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