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Nexscope Ecommerce Data MCP

Google Research Tools: get Trend By Keys API

nexscope_data_google_trend_get_trend_by_keys

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

D1.7/5.0
Behavior1/5

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

Annotations only declare openWorldHint=true and readOnlyHint=false, and the description adds nothing about cost, quota, latency, or whether the call consumes credits. The word 'get' implies a pure read, which sits uneasily with readOnlyHint=false; the description does nothing to resolve that ambiguity.

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?

The single sentence is short but that brevity is under-specification rather than efficiency, since it repeats the title verbatim. There is no front-loaded statement of what the call returns or what constraints matter.

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

Completeness1/5

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

For a four-parameter external data call with no output schema and no annotations covering behavior, the description should at minimum explain the returned trend data and typical call constraints. Instead it is one tautological sentence, leaving the agent to infer everything from the schema alone.

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 region, keyword, dayRangeStart and dayRangeEnd are all documented in the schema itself, including the enum values and the YYYY-MM-DD format. The description contributes no additional parameter meaning, but the high-coverage baseline applies.

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 is a near-restatement of the tool name and title: 'Google Research Tools: get Trend By Keys API' supplies no verb-resource detail beyond what the identifier already says. It does not explain what a 'trend by keys' result contains or how it differs from the sibling nexscope_data_google_trend_get_trend_by_time.

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 preconditions, and no mention of alternatives. An agent cannot tell from this text whether to call this tool or one of the many overlapping trend/keyword siblings such as nexscope_google_trends_by_keywords or nexscope_google_trends_by_time.

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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