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google-trends.related_queries

Fetch Google Trends related queries for one to five keywords. Returns a JSON object whose top-level keys are your keywords. Each value has top and rising sections; each section has query (rank index to query string) and value (rank index to score). Requires start in datetime-with-timezone form (f...

SERVERVee3 SOURCEhttps://mcp.vee3.io/mcp
Low RISK CLASS
Category Read
Parameters 72 required
Recommended Allowedsee the rule below
Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-github-vee3io-vee3/google-trends.related-queries.md

What google-trends.related_queries does on Vee3

AI agents call google-trends.related_queries to retrieve information from Vee3 without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

ParameterTypeRequiredDescription
end object Range end in datetime-with-timezone form. Defaults to now.
gprop object Google property filter (for example images, news, youtube, froogle). Defaults to all.
start string Yes Range start in datetime-with-timezone form (for example 2020-05-01T00:43:37+0100).
region object Region within country. Requires country when set.
country object Country name for geo filtering. Defaults to global.
category object Trends category or subcategory. Defaults to all.
keywords array Yes Up to five keywords to compare.

Parameters from the server's own tool schema.

Why google-trends.related_queries is rated Low

This tool only retrieves/queries publicly available Google Trends data about related search queries. It has no side effects, does not modify any data, and cannot cause harm beyond exposing trending query information.

From the tool's definition Fetch Google Trends related queries for one to five keywords

Questions about google-trends.related_queries

What does the google-trends.related_queries tool do? +

Fetch Google Trends related queries for one to five keywords. Returns a JSON object whose top-level keys are your keywords. Each value has top and rising sections; each section has query (rank index to query string) and value (rank index to score). Requires start in datetime-with-timezone form (for example 2020-05-01T00:43:37+0100). Optional end defaults to now. country defaults to global; region requires a valid country. category and gprop default to all when omitted or empty. Use google-trends.categories and google-trends.regions to discover valid category, country, and region values. Cost = 40 tokens. It is categorised as a Read tool in the Vee3 MCP Server, which means it retrieves data without modifying state.

What parameters does google-trends.related_queries accept? +

google-trends.related_queries accepts 7 parameters: end, gprop, start, region, country, category, keywords. Required: start, keywords. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on google-trends.related_queries? +

Register the Vee3 MCP server in PolicyLayer and add a rule for google-trends.related_queries: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Vee3. Nothing to install.

What risk level is google-trends.related_queries? +

google-trends.related_queries is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit google-trends.related_queries? +

Yes. Add a rate_limit block to the google-trends.related_queries rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.

How do I block google-trends.related_queries completely? +

Set action: deny in the PolicyLayer policy for google-trends.related_queries. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.

What MCP server provides google-trends.related_queries? +

google-trends.related_queries is provided by the Vee3 MCP server (https://mcp.vee3.io/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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