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Crawlora MCP

google_trends_trending

Read-only

Returns current Google Trends Trending Now topics for a requested region, with their search traffic and related news when available.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
hlNoLocale, default en-US.
tzNoTimezone offset in minutes, default 0.
geoNoOptional ISO-2 country/territory code (e.g. US), default US.
limitNoMaximum rows to return, default 20, maximum 100.
statusNoStatus filter, default all. Allowed values: all, active, ended.
windowNoTrend window, default 24h. Allowed values: 4h, 24h, 48h, 7d.
sort_byNoSort order, default relevance. Allowed values: relevance, title, recency, search_volume.
categoryNoTrends category id, default 0. Allowed values: 0, 3, 47, 44, 22, 12, 5, 7, 71, 8, 45, 65, 11, 13, 958, 19, 16, 299, 14, 66, 29, 533, 174, 18, 20, 67.
time_rangeNoAlias for window. Allowed values: 4h, 24h, 48h, 7d.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataYesThe tool result payload (shape varies per tool; see each tool's docs resource).

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.3/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true and openWorldHint=true, so the safety profile is covered. The description usefully adds that related news is only present 'when available', which signals optional/sparse fields, but it does not mention pagination, the 100-row cap, or freshness/latency behavior.

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?

A single front-loaded sentence with zero filler. The core resource and scope lead, and the optional payload caveat is subordinate.

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

Completeness3/5

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

An output schema exists so return values need not be explained, and the 9 parameters are fully documented in the schema. However, the absence of any routing guidance against the trending_detail sibling leaves a gap for a definition in a dense family of google_trends tools.

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 every parameter carries its own description with defaults and allowed values, so the schema does the heavy lifting. The description only loosely gestures at region and recency without adding format or precedence details beyond the schema.

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?

States a specific verb ('Returns'), resource ('Google Trends Trending Now topics'), scope ('for a requested region'), and even the payload ('search traffic and related news'). It distinguishes the trending feed from the explore-style siblings by nature of the resource, though it never names the closest sibling google_trends_trending_detail.

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

Usage Guidelines2/5

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

There is no explicit when-to-use or when-not-to-use guidance. The closest sibling google_trends_trending_detail exists but is not mentioned, so the agent must infer from the name alone whether to call this list endpoint or the detail endpoint.

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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