producthunt_search

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

Since no annotations are provided, the description carries the full burden. It clearly discloses the two-step search behavior (topic then fallback), and explicitly states the authentication requirement ('Requires PH_CLIENT_ID/SECRET'), which is important for the agent.

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 three sentences long, front-loads the core purpose and behavior, and is efficient. The authentication requirement could have been placed earlier but is not omitted.

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?

The description covers the search behavior, return fields, and authentication requirement. There is no output schema, but the description lists what is returned (votes, comments, topics, makers, descriptions), which is sufficient for an agent to understand the 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 documents all parameters. The description adds meaning by explaining the fallback search behavior, but does not add details about how parameters like 'order' or 'per_page' affect behavior beyond what the schema provides.

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 tool searches Product Hunt for products and launches, and describes the two-step search strategy (topic-based, then fallback to keyword filtering). It distinguishes from siblings by naming the platform (Product Hunt) and specifying what data is returned.

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 says 'tries topic-based lookup first, then falls back to keyword filtering on recent posts', which gives some guidance on how the tool works, but does not explicitly state when to use this tool over alternatives like the other search tools. There is no when-not-to-use guidance.

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