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List trending subjects and their pages

list_trending_pages
Read-onlyIdempotent

What people around the World are looking up right now (search trends, most-read subjects, the day's events) and the page of the network that answers each, newest first. Each page was opened and checked before it was listed. Use it when the user asks what is trending or what people are looking up now.

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": "list_trending_pages"
  }
}

Input Schema

NameRequiredDescriptionDefault
limitNoHow many (10 when left out).

Output Schema

NameRequiredDescriptionDefault
nowYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4/5.0
Behavior4/5

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

Annotations already declare readOnly, idempotent, openWorld and non-destructive, so the safety profile is covered. The description adds genuinely new behavior: result ordering ('newest first') and a curation claim that each page was opened and checked before listing. It stops short of describing freshness windows or rate limits.

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?

Two sentences, front-loaded with the resource and its ordering, followed by a short use instruction. The parenthetical field list is slightly dense but each clause carries information, and nothing is redundant.

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?

With an output schema present, return shape needn't be explained, and annotations cover the safety profile. The description still supplies what the tool returns, the ordering, the verification guarantee, and when to reach for it, which is everything an agent needs to call it correctly.

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%, and the single 'limit' parameter already documents its default, bounds are in the schema. The description adds nothing about what the limit counts or how it interacts with the trending window, so baseline 3 applies.

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 description names a concrete resource and scope: trending subjects worldwide plus the network page that answers each, returned newest first. It clearly separates this from a generic search or fetch, but it never names a sibling tool or states explicitly that this is a browse/list operation rather than a query.

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?

It gives an explicit trigger: 'Use it when the user asks what is trending or what people are looking up now.' That is a clear use context, but there are no exclusions (e.g., what to use instead for a specific keyword lookup) and no prerequisites.

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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