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Crawlora MCP

google_trends_trending_detail

Read-only

Returns the Explore detail widgets for a single trending term, including interest over time, regional interest, top queries, rising queries, and related topics when Google returns those widgets.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
hlNoLocale, default en-US.
tzNoTimezone offset in minutes, default 0.
geoNoOptional ISO-2 country/territory code (e.g. US); use WORLDWIDE or omit for worldwide.
typeNoSearch type, default web. Allowed values: web, image, news, youtube, shopping.
queryNoRequired trending term to fetch detail widgets for.
categoryNoTrends category id, default 0 (all categories).
propertyNoOptional legacy Trends property filter. Prefer type; if both are set they must match.
time_rangeNoTime range, default now 7-d. Allowed values: now 1-H, now 4-H, now 1-d, now 7-d, today 1-m, today 3-m, today 12-m, today 5-y, all.

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

A3.8/5.0
Behavior4/5

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

Annotations already cover the safety profile (readOnlyHint=true, openWorldHint=true), so the bar is lower; the description still adds genuinely useful behavior: the caveat that widgets are returned only 'when Google returns those widgets', signaling that fields may be absent for some terms. No auth, rate-limit, or latency notes, but the partial-result caveat is real added value.

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?

A single front-loaded sentence with the verb and resource stated first, followed by the returned widget inventory. Slightly long due to the widget enumeration, but every 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-value structure need not be explained, and the description covers purpose, the widget scope, and the partial-result caveat. For a read-only open-world detail fetch with fully documented parameters, nothing essential is missing.

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% across 8 parameters, so the schema already documents hl, tz, geo, type, query, category, property, and time_range. The description adds no syntax, defaults, or format guidance beyond noting the term is single, 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?

States a specific verb and resource: returns Explore detail widgets for a single trending term, and enumerates the widget types (interest over time, regional interest, top/rising queries, related topics). It is clearly a detail-fetch counterpart to a trending list, but it never names the sibling tools (google_trends_trending, google_trends_explore) it must be distinguished from.

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?

The phrase 'for a single trending term' implies this is the detail step taken after obtaining terms from a trending/list tool, but no explicit when-to-use, prerequisites, or alternatives are given. Usage is inferable but not stated.

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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