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

With no annotations, the description must carry the burden of behavioral disclosure. It accurately states the search behavior and filter scope but omits details such as pagination, result ordering, limit semantics, or how filters combine. This is minimally adequate but not rich.

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, front-loaded sentence with no filler. It efficiently communicates the action, resource, and filtering options.

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 search tool with no annotations and no output schema, the description conveys the essential purpose and filter dimensions. It could benefit from mentioning that results are returned or that limit controls result count, but the current description is serviceable for a low-risk search operation.

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 0%, so the description must compensate. It adds meaning by mapping country, city, category, and query to search dimensions, but it does not mention the limit parameter or provide format/constraint details, leaving a partial gap.

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 ('Search') and names the exact resource ('1001locals catalog of local tours & experiences') along with the available filter dimensions (country, city, category, free-text query). This clearly distinguishes it from siblings like get_experience (single item fetch) and list_categories (enumeration).

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: searching or filtering the catalog by location, category, or text. It does not explicitly name alternatives or exclusions, but the search-focused purpose is distinct from sibling tools, giving reasonable guidance.

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