roboflow_universe_search

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

With no annotations provided, the description carries the full burden of behavioral disclosure. 'Search' implies a read-only operation, but the description does not explicitly state side-effect freedom, result format, or pagination behavior. It adds context about usage but lacks deep behavioral detail.

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 two sentences, action-oriented, and front-loaded with the operation. It contains no filler and efficiently conveys purpose and usage context in minimal space.

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 fully documented parameters and a clear purpose, the description is sufficiently complete. It could explicitly mention the return format, but since there is no output schema, the current description still provides adequate context for an agent to use the tool 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 input schema covers 100% of parameters with descriptions for query, type, and limit. The description does not add any semantic detail beyond what the schema already provides, so the baseline score of 3 applies.

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 resource ('Roboflow Universe'), explicitly names the objects ('models and datasets'), and distinguishes the tool from siblings like 'roboflow_pretrained_list' by focusing on public Universe search. It also states the intended use ('check if a solution already exists'), making the purpose unmistakable.

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 a clear when-to-use condition: 'Use before building a custom model to check if a solution already exists.' This is explicit enough, though it does not name alternative tools or exclusion criteria, so it stops short of a full 5.

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