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Google Research Tools: get Trend By Keys API

nexscope_data_google_trend_get_trend_by_keys
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Google Research Tools: get Trend By Keys API.

Input Schema

NameRequiredDescriptionDefault
regionNoCountry code. Optional values: `US`, `GB`, `JP`, `CA`, `MX`, `DE`, `FR`, `IT`, `ES`. `NL`, `AU`, `SG`, `AE`, `BR`, `IN`, `TR`, `PL`, `SE`.US
keywordYesKeywords, must be in the language of the target country/region; maximum length is 100 characters.
dayRangeEndNoEnd of time range; format is `YYYY-MM-DD`, starting in 2004.
dayRangeStartNoTime range start time; format is `YYYY-MM-DD`, starting in 2004.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2/5.0
Behavior2/5

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

Annotations already declare readOnlyHint=true, openWorldHint=true, and destructiveHint=false, so the safety profile is covered by structured data. The description adds nothing beyond that — no note about keyword language requirements, data coverage, or result shape — so it contributes no behavioral context of its own.

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

Conciseness2/5

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

It is short and front-loaded, but the brevity comes from under-specification rather than efficiency — the single sentence carries no actionable information beyond the title.

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

Completeness2/5

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

For a 4-parameter, open-world data retrieval tool with no output schema, the description should explain what the trend data represents and when this tool beats its Trends siblings. None of that is present, leaving the agent to infer everything from the name and schema.

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 enum for region is documented, so the schema carries all parameter meaning (keyword language/max length, date range format, region codes). The description adds nothing on top, which places it at the baseline for a fully documented schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose2/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description merely restates the name and title ("get Trend By Keys API") without saying what a "trend by keys" result actually is, what it returns, or how it differs from close siblings like nexscope_data_google_trend_get_trend_by_time or nexscope_google_trends_by_keywords. It is essentially a tautology of the identifier.

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

Usage Guidelines1/5

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

There is no when-to-use guidance, no exclusions, and no mention of any alternative. An agent has no basis in the description for choosing this over the several other Google Trends tools in the sibling list.

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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