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Crawlora MCP

google_trends_explore_top_queries

Read-only

Returns only the Top related queries widget for one or more Google Trends Explore terms.

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.
categoryNoTrends category id, default 0 (all categories).
keywordsNoRequired list of 1 to 5 search keywords to compare.
propertyNoOptional legacy Trends property filter. Allowed values: web, images, news, youtube, froogle. Prefer type.
time_rangeNoTime range, default today 12-m. 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

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 safety and network exposure are covered. The description adds that only the Top related queries widget is returned (a scoping/output behavior), but says nothing about rate limits, auth, or how results are truncated. With annotations carrying the safety profile, a 3 is appropriate.

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 resource and scope lead the sentence.

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 and annotations exist, so return format and safety need not be restated. However, for a tool sitting among several near-identical google_trends_explore_* widget extractors, the description omits the routing information needed to pick this one over rising_queries or related_topics.

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 all 8 parameters (hl, tz, geo, type, category, keywords, property, time_range) are documented in the schema itself. The description only echoes 'one or more Explore terms', which maps loosely to the keywords parameter and adds no format or constraint detail. Baseline 3.

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) and resource (Top related queries widget) scoped to Google Trends Explore terms. The word 'only' distinguishes it from the fuller google_trends_explore result, though it never names the sibling it is a subset of or its counterpart rising_queries.

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 when-to-use guidance, no mention of the alternatives (google_trends_explore_rising_queries, google_trends_explore_related_topics, or google_trends_explore itself), and no prerequisites. An agent must infer selection from the tool name alone.

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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