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Trending games

trending
Read-onlyIdempotent

Games trending over the last day or week (genre scope when genre is set). trending_basis says whether play data or the recency fallback was used. Returns only published, playable games verified within the last 8 days (listing-only games with include_listing_only=true; plays=here or plays=developer_site picks one kind). content_rating_max defaults to teen. Zero results is a success with code NO_MATCHES and up to 3 executed relaxations whose args you can call again (with the tool named in tool, when set). Quote match_reasons and link play_url; render 'via ArcadeIndex' per the attribution block.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "trending"
  }
}

Input Schema

NameRequiredDescriptionDefault
moodNo
genreNo
limitNo
playsNohere: only games that play embedded (on ArcadeIndex and in the in-chat player); developer_site: only games that play on the developer's own site (implies include_listing_only).
inputsNo
windowNoweek
playersNo
difficultyNo
min_qualityNo
exclude_genresNo
content_rating_maxNoteen
session_length_maxNo
include_listing_onlyNo

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / properties / content_rating_max / enum
      Previous value: -[
      -  "everyone",
      -  "everyone_10",
      -  "teen",
      -  "mature"
      -]New value: +[
      +  "everyone",
      +  "everyone_10",
      +  "teen"
      +]
  2. First observed

TDQS

A3.9/5.0
Behavior5/5

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

Goes well past the readOnly/idempotent annotations: it discloses the 8-day verification filter, that listing-only games require include_listing_only, that plays selects one kind exclusively, that zero results is a success with NO_MATCHES plus re-callable relaxation args, and an attribution obligation. This is rich behavioral context an agent cannot get from structured fields.

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

Conciseness4/5

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

Dense but front-loaded: the core purpose leads, followed by eligibility rules, the plays distinction, the empty-result contract, and output conventions in a logical order. Some sentences are overloaded with parenthetical asides, but nothing is filler.

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 complex 13-parameter tool with an output schema, the description covers the non-obvious contract: trending_basis semantics, the NO_MATCHES/relaxation loop, attribution, and match_reasons/play_url handling. The remaining gap is guidance on the ambiguous quality/session-length knobs, which is a minor omission given the output schema covers return shape.

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 only 8% across 13 parameters, so the description must compensate and it partially does: it clarifies genre scoping, include_listing_only, content_rating_max default, window, and which plays value implies listing-only. But it is silent on min_quality, session_length_max, limit, exclude_genres, and the mood/inputs/players/difficulty filter semantics, even though several of those enums are self-explanatory.

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?

The first sentence names the specific resource and ranking basis ('Games trending over the last day or week'), which is clearly distinct from siblings like new_games or random_game. It doesn't explicitly name an alternative tool, but the trending concept is self-differentiating.

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

Usage Guidelines3/5

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

Usage is implied through the window/genre scoping and the plays/include_listing_only conditions, and the description does explain the failure path (NO_MATCHES, up to 3 relaxations). However, it never says when to pick this over search_games or new_games, nor does it state prerequisites or exclusions.

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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