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trendsmcp-ai

Trends MCP

by trendsmcp-ai
OverviewSchemaRelated ServersScoreDiscussions
Python
Remote

get_top_trends

Read-onlyIdempotent

Retrieve live top-trending boards for a selected feed type across 25+ platforms. Use rank change sorting to identify climbers over a chosen time window.

Instructions

Live top-trending board for exactly one feed type. No keyword. For 'Amazon Best Sellers by Category', 'Google Trends by Category', 'Top Websites', and 'Substack by Category', always pass category. Default sort is current rank. Use sort='rank_change' for climbers vs a prior snapshot (window 1d, 3d, 7d, 14d, or 30d). App Store Top Free, App Store Top Paid, and Google Play are live store boards, not keyword lookups. For an app's history use get_growth or get_time_series with source app downloads or app rankings and an Android bundle ID. Do not use get_time_series for live boards. If the request is rate limited or the monthly quota is used up, tell the user their plan limit is reached.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sortNoHow to rank the board. 'rank' (default): current leaders. 'rank_change': biggest climbers vs a prior snapshot. Mover rows include rank, keyword, prev_rank, and rank_change.rank
typeYesExactly one live feed. Valid: 'Amazon Best Sellers Top Rated', 'Amazon Best Sellers by Category', 'App Store Top Free', 'App Store Top Paid', 'GitHub', 'Google News Top News', 'Google Play', 'Google Trends', 'Google Trends by Category', 'IMDb MOVIEmeter', 'Open Library Trending Books', 'Reddit Hot Posts', 'Reddit World News', 'Top Websites', 'Spotify Top Podcasts', 'Steam Most Played', 'Substack', 'Substack by Category', 'TikTok Trending Hashtags', 'TikTok Trending Searches', 'Wikipedia Trending', 'X (Twitter) Trending', 'YouTube Trending'.
limitNoMax rows to return. Default 25, min 1, max 200.
offsetNoRows to skip for pagination. Default 0.
windowNoLookback used only when sort is 'rank_change'. One of '1d', '3d', '7d', '14d', '30d'. Default '30d'. Short windows only work on daily feeds; weekly and monthly feeds return a note pointing to a longer window.30d
categoryNoPass this whenever type is 'Amazon Best Sellers by Category', 'Google Trends by Category', 'Top Websites', or 'Substack by Category'. Use the official name. Without it those feeds mix every board. Only omit on a first pull to learn the official names.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Install Server

TDQS

A5/5.0
Behavior5/5

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

Annotations already declare the tool safe/read-only, and the description adds substantial behavioral context: default sort behavior, rank_change window semantics, live-board vs keyword behavior, and quota/rate-limit error handling. No contradiction with annotations.

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?

The description is dense but every sentence carries decision-relevant information, with the core purpose front-loaded. It avoids filler while covering routing, parameter relationships, and error behavior.

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

Completeness5/5

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

For a complex multi-feed tool with six parameters and an output schema, the description covers the essential selection rules, category requirement, sort/window semantics, sibling routing, and quota handling. Nothing critical is missing for correct invocation.

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

Parameters5/5

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

Schema coverage is 100%, but the description adds meaningful cross-parameter guidance: when category is mandatory, which sort/window combination is valid, and how the live-board types differ from keyword lookups. This goes beyond the schema's individual field descriptions.

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 clearly identifies a live top-trending board for exactly one feed type and explicitly distinguishes it from keyword lookups. It also differentiates from sibling tools by framing the tool as current/live rather than historical.

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

Usage Guidelines5/5

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

Provides explicit when-to-use guidance (live boards), when-not-to-use guidance (app history), and names the alternatives (get_growth, get_time_series). It also specifies mandatory category passing for certain feed types and warns against using get_time_series for live boards, leaving no ambiguity about routing.

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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