buygit_trending

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

No annotations provided, so description carries full burden. It describes the output as 'crawler listings' but does not explain behavioral traits like data freshness, caching, rate limits, or error handling for invalid categories. It mentions 'license-aware' but doesn't detail how that affects results. Adequate but not thorough.

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?

Two sentences, each adding value. Front-loaded with the key function and output attributes, then use case. No wasted words. Highly efficient.

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 presence of output schema (not shown but indicated), return value explanation not needed. Description covers purpose, use case, key attributes, and filtering. Lacks discussion of error cases or data freshness but is reasonably complete for a trending list tool.

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 0%, so description must add meaning. It mentions period ('day|week|month') and category, but not limit. It adds context like 'recent activity' and 'curated, license-aware', but doesn't explain defaults or boundaries. Partial coverage; baseline 3 is appropriate.

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 it returns top crawler listings ranked by recent activity with key attributes (license, risk, popularity, pricing). It specifies the time periods and optional category narrowing, and distinguishes from 'GitHub trending noise', implying a curated list. The verb 'list' and resource 'trending' are specific.

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 explicitly says 'Use for "what is hot right now in <category>"', providing a clear use case. It implies a curated, license-aware alternative to GitHub trending. However, it does not explicitly state when not to use or reference sibling tools, though the context is reasonably clear.

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