get_openrouter_popular

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

No annotations are provided, so the description must fully disclose behavioral traits. It mentions being based on usage statistics but omits details like caching behavior (though the schema includes a cache parameter), side effects (none expected), or whether it is read-only. The description is too sparse to fully inform the agent of behavioral implications.

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 a single concise sentence that immediately conveys the tool's purpose. No extraneous words are present, and the structure is optimal for quick comprehension.

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?

Given the tool's simplicity (two parameters, no output schema), the description adequately covers the core functionality. However, it could improve by briefly noting the return format or ordering of results, but this is not a critical omission.

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?

Schema description coverage is 100% for both parameters, so the schema already explains 'limit' and 'use_cache'. The description adds no additional meaning beyond what is in the schema, achieving the baseline acceptable score.

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 'Get', the resource 'most popular LLM models', and the basis 'based on usage statistics', making it easy to understand the tool's purpose and differentiate it from siblings like 'get_openrouter_models' (all models) and 'get_openrouter_best_value' (value ranking).

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 this tool is for retrieving popular models, but does not explicitly state when to use it over alternative OpenRouter model tools or when not to use it. No comparative guidance is provided.

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