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Trending Products

peerpush_trending
Read-only

Lists software products currently trending on PeerPush over a chosen period (day, week, or month). Relevant when the user asks what tools are popular, hot, or gaining momentum right now. Returns products with recent community momentum - trending badges, rising upvotes, and award winners (Product of the Day/Week/Month). Link each product with its websiteUrl, or its peerpushUrl for the PeerPush page.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoNumber of results
periodNoTrending period to look atweek
categoryNoFilter by category name or slug (e.g. "ai", "developer-tools", "productivity")

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / properties / category / description
      Previous value: -"Filter by category slug"New value: +"Filter by category name or slug (e.g. \"ai\", \"developer-tools\", \"productivity\")"
  2. First observed

TDQS

A3.9/5.0
Behavior4/5

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

Annotations already establish readOnly/non-destructive/non-open-world, so the description is freed to add content-level behavior: trending badges, rising upvotes, and Product of the Day/Week/Month award winners, plus the linking guidance for websiteUrl vs peerpushUrl. It does not cover pagination or how trends are computed, but it adds real context beyond the annotations.

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?

Three sentences, front-loaded with the core action and scope, then usage trigger, then return/linking detail. Slight looseness in the 'popular, hot, or gaining momentum right now' triple, but nothing is off-topic or wasted.

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?

No output schema exists, so the description carries the return-value burden, and it does so at a reasonable level (trending badges, upvotes, award winners, URL fields). It stops short of describing result ordering or response shape, which leaves a small gap for a list tool with no output 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 limit, period, and category are all documented in the schema; the baseline is 3. The description restates the period options ('day, week, or month') but adds no new semantics such as what 'category' accepts beyond the schema's own example, so it neither compensates nor detracts.

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?

Specific verb ('Lists') plus a precise resource ('software products currently trending on PeerPush') and the scoping dimension (day/week/month). It implicitly separates itself from time-oriented siblings like peerpush_new_launches by emphasizing current momentum, but it never names a sibling explicitly, which keeps it short of a 5.

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 second sentence gives a clear trigger condition: 'when the user asks what tools are popular, hot, or gaining momentum right now.' That is a usable when-to-use signal, but there are no exclusions or named alternatives (e.g. use peerpush_new_launches for brand-new releases, peerpush_deals for discounts).

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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