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AppBoard.pro product discovery

appboard_trending

List the products gaining the most community momentum in a time window. Use this for "what's new/hot/trending" questions. Ranked by AppBoard's Points-Based Score, which weights recent upvotes, comments, follows and saves by recency.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNohow many products to return (1-50, default 10)
periodNotime window: today, yesterday, week, month or all (default week)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.2/5.0
Behavior4/5

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

With no annotations provided, the description carries the full behavioral burden. It discloses the ranking mechanism: 'Ranked by AppBoard's Points-Based Score, which weights recent upvotes, comments, follows and saves by recency.' This goes beyond a generic list description and informs the agent about result ordering. However, it does not explicitly state whether the operation is read-only or mention any side effects, though 'list' implies a read. The transparency is good but not exhaustive.

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 three concise sentences, each with a distinct role: defining the action, giving the use case, and explaining the ranking. There is no filler or repetition. The most user-relevant info (what it does and when to use it) is front-loaded, followed by the ranking detail. Every sentence earns its place.

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?

The tool is simple (two optional parameters, no output schema) and the description covers purpose, usage, and ranking. It does not describe the exact structure of the returned products, but since it's a list of products, the agent likely has context from other AppBoard tools. The description adequately equips an agent to decide when to call it and what to expect conceptually. For a tool of this complexity, the coverage is solid.

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%, with both 'limit' and 'period' fully described in the input schema. The description adds minimal extra meaning: it refers to 'time window' which maps to the 'period' parameter, but doesn't provide additional semantics beyond what the schema already states. Per the rubric, with high schema coverage, baseline is 3, and this description does not elevate it further.

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 states the action (list) and the specific resource (products gaining community momentum in a time window). It also ties to the explicit use case of 'what's new/hot/trending' questions, making it distinct from sibling tools like appboard_find_products which are more generic search tools. The verb and resource are precise, and the description differentiates it without naming a sibling directly.

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 explicitly tells the agent when to use this tool: 'Use this for "what's new/hot/trending" questions.' This is clear contextual guidance. It doesn't mention when not to use it or name specific alternatives among the siblings, but the provided use case is actionable and sufficient for selection. Not naming an alternative prevents confusion while still giving a clear trigger.

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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