The most filmed places

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

With no annotations provided, the description carries the burden of behavioral disclosure and does it well: it explains that rank 1 is based on the most famous production, not the most credits, and contrasts fame sorting with production-count sorting. It could also mention output format or default limit, but the core behavioral nuance is well covered.

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 compact and front-loaded with the tool's essential function. Every sentence contributes: scope, ranking semantics, the alternative sort behavior, and an example query. No filler or redundant restatement of the title or schema.

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 four-optional-parameter tool with no annotations or output schema, the description provides enough context for an agent to select it and construct a valid call. It covers filters, sort semantics, and a typical query, though a brief mention of the default limit or return shape would make it fully complete.

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 the baseline is 3, but the description adds real semantic value by explaining what `sort=fame` vs `sort=productions` actually mean and by mapping the optional filters to worldwide, country, or category queries. It does not repeat parameter names unnecessarily.

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 clearly defines the tool as a ranked atlas of filming locations worldwide or filtered by country/category, and explicitly states it answers 'most famous filming locations in <country>'. It clarifies the fame-rank semantics, but it does not explicitly differentiate from sibling search tools like search_locations or where_was_it_filmed.

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?

The description gives a clear use case pattern ('most famous filming locations in <country>') and even explains when to switch the sort to `productions` for busiest places. It does not name alternative sibling tools or state when not to use this tool, so it falls short of fully explicit guidance.

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