get_trending_tools

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

No annotations are provided, so the description carries full burden but only states the core function without behavioral details. It doesn't disclose whether this is a read-only operation, requires authentication, has rate limits, or what the output format looks like (e.g., list of tools with growth metrics). For a tool with no annotation coverage, this is a significant gap.

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, efficient sentence that front-loads the core purpose without unnecessary words. Every part earns its place by specifying the action, resource, time scope, and ranking criteria, making it highly concise and well-structured.

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 no annotations and no output schema, the description is incomplete for a tool that returns ranked data. It doesn't explain what information is returned (e.g., tool names, growth rates, categories) or how to interpret results, leaving gaps in understanding the tool's full behavior and output.

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%, so the schema already fully documents all three parameters (time_range, limit, category) with enums and defaults. The description adds no additional parameter semantics beyond what the schema provides, such as explaining what 'adoption growth rate' means or how categories are defined, meeting the baseline for high schema coverage.

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 specific action ('Get') and resource ('fastest-growing AI developer tools'), with precise scope ('over a time period, ranked by adoption growth rate'). It distinguishes itself from siblings like 'compare_tools' or 'search_tools' by focusing on growth trends rather than comparison or general search.

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 provides no guidance on when to use this tool versus alternatives like 'get_tool_history' (which might show historical data) or 'search_tools' (which might filter by other criteria). It lacks explicit when/when-not instructions or named alternatives, leaving usage context implied at best.

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