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Google Trends By Keywords

nexscope_google_trends_by_keywords
Read-only

Google Trends keyword search popularity comparison and trend analysis, supporting global regions and custom time ranges. Triggered by: Google Trends, keyword popularity over time, search interest comparison, keyword trend analysis, seasonal trend detection, regional search popularity, keyword heatmap, multi-keyword comparison on Google, keyword research, market trend analysis, search trends, seasonal analysis, regional popularity.

Input Schema

NameRequiredDescriptionDefault
regionNoCountry/region, default US. Options: US, GB, JP, CA, MX, DE, FR, IT, ES, NL, AU, SG, AE, BR, IN, TR, PL, SE
keywordYesKeyword in the target country's language, at most 100 characters.
dayRangeEndNoTime range end (use when you want to freely specify the time range; custom time range takes priority), format YYYY-MM-DD, starting from 2004
dayRangeStartNoTime range start (use when you want to freely specify the time range; custom time range takes priority), format YYYY-MM-DD, starting from 2004

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, destructiveHint=false and openWorldHint=true, so safety and data-source openness are covered. The description adds little beyond that — it restates regional/time-range support already in the schema and says nothing about data freshness, per-keyword limits, or whether custom ranges override defaults (that detail lives in the schema, not here).

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The opening sentence is well front-loaded, but the 'Triggered by:' tail is a 14-item keyword list with heavy redundancy ('keyword trend analysis' vs 'seasonal trend detection' vs 'seasonal analysis', 'market trend analysis' vs 'search trends'). It pads the definition without sharpening selection guidance.

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?

For a read-only, four-parameter tool with full schema coverage and no output schema, the description covers purpose and scope adequately. It leaves untold what form the trend results take (indexed 0-100, multiple keywords vs one, granularity) and how it differs from the time-based sibling, which an agent would want before invoking.

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 four parameters (region, keyword, dayRangeStart, dayRangeEnd) are already documented with options, formats and the custom-range priority rule. The description only echoes 'global regions and custom time ranges' and adds no new semantics. Baseline 3 applies when the schema carries the load.

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 first sentence gives a specific verb and resource: keyword search popularity comparison and trend analysis from Google Trends, with region and time-range scope. It does not, however, name or distinguish itself from the sibling nexscope_google_trends_by_time, which is the closest ambiguity for an agent choosing between the two.

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 'Triggered by:' list implies usage contexts (seasonal analysis, keyword research, regional popularity), but implications are not explicit guidance. There is no statement of when NOT to use it, no prerequisites, and no pointer to nexscope_google_trends_by_time as the alternative for time-series-only lookups.

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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