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

With no annotations, the description carries the burden of behavioral disclosure. It conveys that the catalog is public and that results are filtered by popularity/priority, which helps. It does not explain sorting order, pagination, result shape, or whether the operation is read-only beyond the verb 'List', but for a simple read-only listing this is acceptable.

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?

A single, front-loaded sentence conveys the action, resource, and source without wasted words. Every phrase contributes meaning and the tool can be understood at a glance.

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 tool with one optional parameter, no output schema, and no annotations, the description gives sufficient context to call it: it lists popular frequency sets from the public KYMA catalog, and the schema defines the limit. Minor gaps include result ordering and return structure, but they do not block correct invocation.

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 input schema provides 100% coverage of the only parameter, limit, including its range and default. The description adds no parameter-specific information beyond the overall purpose, so the baseline of 3 is appropriate because the schema already does the heavy lifting.

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 ('List') and identifies a distinct resource ('popular / high-priority frequency sets from the KYMA public catalog'). It is clear enough to differentiate from siblings like get_frequency or list_healing_guides, though it does not explicitly name an alternative.

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 implies the tool is for retrieving popular or high-priority frequency sets, which gives the agent some context for when to use it. However, it does not explicitly state when to prefer this over search_frequencies or list_healing_guides, nor does it mention exclusions or prerequisites.

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