list_categories

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

With no annotations provided, the description carries the full burden. It adequately discloses the tool's behavior: it lists all categories and their counts, and the verb 'List' implies a non-mutating read operation. The enumeration of categories adds transparency about expected output, though it does not discuss data source or potential freshness.

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 concise, front-loaded with the core function, enumerates the useful category list, and closes with usage guidance. Every sentence earns its place, and there is no wasted verbiage.

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 zero-parameter tool without an output schema, the description is fully complete. It explains what it does (lists categories with counts), the exact categories, and when to use it. The presence of sibling tools provides additional context, but the description alone is sufficient for an agent to invoke it 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 tool has zero parameters, and the schema is an empty object, so there are no parameter semantics to clarify. The description correctly focuses entirely on the tool's output and use case, matching the baseline for parameterless tools.

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 states the verb 'List' and the resource 'Uiverse component categories' with their counts. It enumerates the exact categories, distinguishing it from sibling tools like list_components and search_components. The tool's purpose as a discovery mechanism is unambiguous.

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 provides an explicit 'when' with 'Call this first when you don't know what's available,' positioning it as an initial exploration step. However, it does not explicitly name alternative tools for subsequent steps or state when not to use it, which keeps it just shy of a 5.

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