Get WunderUI package info

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

With no annotations and no output schema, the description carries the full burden, and it does disclose the shape of the response (fields and counts) — the single most useful behavioral fact here. It does not say the tool is side-effect free, takes no arguments, or is cheap to call, but for a zero-param getter the risk surface is small.

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 sentence with no filler, and the most important facts (name, version, install commands) lead. It is a noun-phrase inventory rather than an action statement, which slightly weakens the front-loading of purpose.

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?

Because no output schema exists, the description must stand in for return-value documentation, and it does so at a high level (which fields come back, including counts). It stops short of describing the format of install commands or framing this as the recommended first call, leaving gaps an agent may care about.

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 schema has zero properties, so there is nothing for the description to disambiguate; baseline 4 applies. The description correctly implies the call needs no input.

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 enumerates exactly what the tool surfaces: package name/version, install commands, underlying stack, and counts of components, categories and templates. Combined with the name get_library_info, an agent can tell this is a library-metadata read, and the field list separates it from list_components or get_component. It never states an explicit verb or names a sibling, so differentiation is inferential rather than stated.

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?

There is no statement of when to call this versus list_components, list_templates, get_instructions or get_starter. An agent must guess that this is the 'orientation/overview' tool rather than a counting tool for a specific resource type. No prerequisites or exclusions are given.

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