veroq_research_github

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

No annotations provided, but the description details the return fields and cost. It does not explain how 'AI detection' works or define 'trending' timeframe, but is adequate for a simple read-only tool.

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 well-structured with clear sections, but the empty EXAMPLE object adds no value and could be removed. Otherwise concise.

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 parameterless tool with no output schema, the description covers purpose, usage, return fields, and cost. It could clarify 'trending' definition, but is largely complete.

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?

No parameters exist, and schema coverage is 100%. The description adds no param info, which is appropriate; baseline 4 for zero parameters.

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 'Trending GitHub repos with AI detection' and specifies the resource and action. It distinguishes from sibling research tools (e.g., veroq_research_bills) by focusing on GitHub repos.

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 'WHEN TO USE' section provides clear context for tech trend analysis, but lacks explicit exclusions or alternative tool mentions. Sibling tools implicitly cover other domains.

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