google-trends.suggestions
Get Google Trends suggestions for a single keyword. Returns result: an array of suggested topics and entities, each with mid (topic id), title (display name), and type (for example Topic, Software, Book). Use this to refine keywords before interest-over-time, interest-by-region, or related-querie...
This record as markdown: /tools/io-github-vee3io-vee3/google-trends.suggestions.md
What google-trends.suggestions does on Vee3
AI agents call google-trends.suggestions 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.
| Parameter | Type | Required | Description |
|---|---|---|---|
keyword | string | Yes | Keyword or phrase to get suggestions for. |
Parameters from the server's own tool schema.
Why google-trends.suggestions is rated Low
This is a read-only query operation that retrieves autocomplete/suggestion data from Google Trends based on a keyword input. It has no side effects, cannot modify data, and poses minimal risk even if misused by an agent. The worst outcome is returning irrelevant suggestions or consuming API quota. Low severity and high confidence are appropriate.
From the tool's definition Tool 'Get Google Trends suggestions for a single keyword' returns 'an array of suggested topics and entities' with no mention of modification, deletion, or execution. It retrieves and queries suggestion data.
Attacks that exploit this kind of access
The rule that runs google-trends.suggestions safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Vee3, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For google-trends.suggestions, this is the rule to start with:
google-trends.suggestions is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Vee3, apply this rule, and every google-trends.suggestions call is checked against it from then on.
Questions about google-trends.suggestions
Get Google Trends suggestions for a single keyword. Returns result: an array of suggested topics and entities, each with mid (topic id), title (display name), and type (for example Topic, Software, Book). Use this to refine keywords before interest-over-time, interest-by-region, or related-queries calls. Cost = 10 tokens. It is categorised as a Read tool in the Vee3 MCP Server, which means it retrieves data without modifying state.
google-trends.suggestions accepts 1 parameter: keyword. Required: keyword. The full parameter table on this page comes from the server's own tool schema.
Register the Vee3 MCP server in PolicyLayer and add a rule for google-trends.suggestions: 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.
google-trends.suggestions is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the google-trends.suggestions 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.
Set action: deny in the PolicyLayer policy for google-trends.suggestions. 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.
google-trends.suggestions 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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