get_producthunt_products

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

No annotations are provided, and the description only states 'Get' which implies read-only behavior. It does not disclose rate limits, caching behavior (though a 'use_cache' parameter exists), or data freshness beyond the schema's parameter description.

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 concise with two sentences: first states the action, second provides use cases. No unnecessary words, front-loaded.

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 has only 3 parameters (all optional, fully described in schema) and no output schema, the description is adequate but lacks context to differentiate from many similar sibling tools like 'get_betalist_latest' or 'get_github_trending_repos'. No mention of pagination or response format.

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 parameters are fully documented in the schema. The description adds no additional meaning to the parameters, but does not contradict the schema.

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 'Get Product Hunt products' with specific use cases (new launches, startup products, tech tools). It effectively communicates the resource and purpose, but doesn't explicitly differentiate from sibling tools like 'get_ai_tools' or 'get_alternativeto_trending'.

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 implicitly suggests usage for discovering new apps and services, but provides no explicit when-to-use or when-not-to-use guidance. Given the wide range of sibling tools, this is a moderate gap.

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