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

With no annotations, the description carries the full burden of behavioral disclosure. It adds important context by stating that 'Free-tier facts are auto-extracted and unverified,' warning the agent that data quality is not guaranteed. This goes beyond the schema and meaningfully informs expectations.

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 with no filler. The primary purpose is front-loaded, and the caveat about unverified facts is placed at the end without bloating the text.

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/find tool with five optional parameters and no required input, the description communicates the core behavior and an important reliability caveat. It doesn't mention return format, but the tool's purpose is simple enough that this is a minor gap, especially given the comprehensive parameter schema.

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 coverage is 100%, so the baseline is 3. The description adds value by grouping the boolean parameters as 'auto-extracted facts' and clarifying they are unverified, which gives the agent deeper understanding of what these filters actually represent beyond their schema definitions.

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 states a specific verb and resource: 'Find AI tools with a free tier.' It clearly distinguishes the tool from siblings like search_ai_tools or get_ai_tool by scoping results to free-tier tools and optional free-tier-related filters.

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 establishes clear context: use this when the goal is finding AI tools with a free tier, optionally narrowed by free-tier attributes. It does not explicitly name alternatives or when-not conditions, but the intended use case is evident and distinct from sibling tools.

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