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datasets_producthunt_trends_search

Read-only

Search the Product Hunt trends dataset (aggregate category-over-time launch rollups).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pageNoResult page number, 1-based, default 1; page times page_size must not exceed 10000.
sortNoOptional sort order. Allowed values: period_desc, period_asc, launch_count_desc, sum_votes_desc. Defaults to period_desc.
topicNoOptional exact topic-slug filter, e.g. artificial-intelligence.
group_byNoAggregate cell dimension. Allowed values: topic_month, topic_year, topic. Defaults to topic_month.
min_votesNoOptional minimum product upvotes, 0 or greater.
page_sizeNoPage size, default 20, max 100; page times page_size must not exceed 10000.
min_launchesNoOptional minimum launches per cell; raises the small-cell suppression floor, which is never lowered below the built-in minimum.
launched_afterNoOptional lower bound on first-launch date, an ISO-8601 date (YYYY-MM-DD); only products first launched on or after it are counted.
launched_beforeNoOptional upper bound on first-launch date, an ISO-8601 date (YYYY-MM-DD); only products first launched on or before it are counted.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataYesThe tool result payload (shape varies per tool; see each tool's docs resource).

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.3/5.0
Behavior3/5

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

Annotations declare readOnlyHint=true and openWorldHint=true, so the safety profile is covered. The description adds the aggregate-rollup nature of the results, which is useful context beyond annotations. However, it mentions nothing about the built-in suppression floor mentioned in the schema, result format, or pagination behavior.

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?

A single front-loaded sentence with zero waste. It states the tool's purpose and the key distinguishing characteristic (aggregate rollups) in one compact clause.

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

Completeness3/5

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

With an output schema present, return values need not be explained, and annotations cover safety. The description is adequate but thin for a 9-parameter tool: it does not clarify that topic is an exact-slug filter, that group_by changes the aggregation granularity, or how the suppression floor behaves, leaving the agent to rely entirely on the schema.

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

Parameters3/5

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

Schema description coverage is 100%, so the schema documents all 9 parameters including the suppression-floor behavior of min_launches. Baseline 3 is appropriate; the description adds no parameter syntax or meaning beyond what the schema already provides.

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

Purpose4/5

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

States a specific verb (Search) and resource (Product Hunt trends dataset) with a clarifying parenthetical that it is aggregate category-over-time launch rollups. This distinguishes it from sibling product-level tools (datasets_producthunt_products_search) and maker tools, though it does not name those siblings explicitly.

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

Usage Guidelines2/5

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

No when-to-use guidance, no mention of when NOT to use it, and no routing to alternatives like datasets_producthunt_products_search or datasets_producthunt_makers_search. The description tells you what the tool is but not when to choose it over siblings.

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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