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search_producthunt

Search Product Hunt products by functional description.

Matches tagline/description (what a product does), not only its name.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNomax hits (default 10).
queryYesfree-text (supports OR, AND, quoted phrases, -exclude).
sinceNo
untilNo
min_votesNodrop posts with fewer upvotes (0 = all).

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.2/5.0
Behavior3/5

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

No annotations are provided, so the description must carry the behavioral disclosure burden. It does add a meaningful behavior note—matches tagline/description, not just the name—but it does not disclose return format, ordering, pagination behavior, or any side effects. For a read-only search tool, this is minimal but not contradictory; the description is more helpful than a tautology but lacks depth.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two short, focused sentences with no fluff. The core action and resource are front-loaded, and the second sentence clarifies the matching semantics. Every word serves a purpose, making it easy to scan.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a search tool with 5 parameters and an output schema, the description is fairly complete. It covers the tool's purpose and matching behavior. The main omissions are the format/meaning of since/until and any notes on defaults or limits, but the schema covers limit and min_votes defaults. Given the output schema exists, the description need not explain return values. It is adequate but could add a sentence on date filtering.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The description adds semantic value to the query parameter by clarifying that it matches functional descriptions (tagline/description), which is not explicit in the schema ('free-text'). The schema already documents limit, query, and min_votes; the description compensates somewhat for the undocumented since/until parameters by giving the overall search intent. Coverage is 60%, and the description does add meaning beyond the schema for the key query parameter.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific verb ('Search'), a resource ('Product Hunt products'), and a clear qualifier ('by functional description'). It also distinguishes the tool from siblings like search_reddit or search_x by tying it to Product Hunt and specifying the matching mechanism (tagline/description vs. name).

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies when to use this tool: when you need to find Product Hunt products by what they do rather than by name. It clarifies the focus on functional description, but it does not explicitly exclude alternatives or mention when other search tools might be better. However, the platform specificity is clear from the name and the first sentence.

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

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