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catalog_browse

Use filters for task, size, and sort to browse the AI model catalog, and search by keyword to find the right model.

Instructions

Browse the lilbee model catalog. task: chat/embedding/vision/rerank. size: small/medium/large/huge, by parameter count. sort: featured/downloads/name/size_asc/size_desc.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sizeNo
sortNo
taskNo
limitNo
offsetNo
searchNo
featuredNo
installedNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

With no annotations, the description carries the full burden of disclosing behavior. It only says 'browse' and lists parameters, but does not indicate whether the operation is read-only, what the return format is, or whether pagination is handled. No safety or side-effect information is provided.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is brief and front-loaded with the main purpose. It efficiently lists parameter options without unnecessary words. Minor formatting issues (double backticks) do not detract significantly.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The tool has 8 parameters and an output schema, but the description only covers 3 parameters and offers no usage context. It fails to explain filtering, pagination, or how it relates to sibling tools, leaving the agent under-informed for correct invocation.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema has 8 parameters with 0% description coverage. The description adds meaning for task, size, and sort by listing allowed values, but leaves limit, offset, search, featured, and installed completely undocumented. This partial compensation is insufficient for a low-coverage schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool browses the lilbee model catalog, with a specific verb and resource. However, it does not distinguish this from sibling tools such as model_list or search, so it lacks differentiation.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is provided on when to use this tool versus alternatives like model_list or search. The description only explains the tool's basic function without stating context or exclusions.

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

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