trend_watcher
Monitor emerging trends, regulatory shifts and adoption signals for a given market sector. Returns 5-12 trend cards, each with a momentum score (rising/stable/declining), a 3-month and 12-month outlook, opportunity windows, and recommended actions. When to use this tool: the user asks what is hea...
This record as markdown: /tools/io-github-getgapup-mcp-knowledge/trend-watcher.md
What trend_watcher does on Mcp Knowledge
AI agents call trend_watcher to retrieve information from Mcp Knowledge 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 |
|---|---|---|---|
async | boolean | — | If true, returns a job_id immediately (<200ms) instead of waiting for the result. Poll the result with job_result(job_id). Use for slow tools to avoid client ti |
focus | string | — | Optional context (geography, language target, comparator window, etc.) |
sector | string | Yes | Sector to monitor (e.g. 'B2B SaaS productivity', 'EU fintech', 'climate-tech hardware') |
keywords | array | Yes | 3-8 keywords describing the watch perimeter |
Parameters from the server's own tool schema.
Why trend_watcher is rated Low
trend_watcher is a monitoring and analytics tool that gathers and reports trend intelligence for strategic planning (product roadmap timing, content calendars). It queries market data and returns analysis outputs (trend cards, momentum scores, outlooks, recommendations). There is no indication the tool modifies data, executes code, deletes records, or moves funds.
From the tool's definition Monitor emerging trends, regulatory shifts and adoption signals"; "Returns 5-12 trend cards"; "Inputs: a sector to monitor and 3-8 keywords" — tool retrieves and analyzes market data with no ability to modify, delete, or execute external operations.
Attacks that exploit this kind of access
The rule that runs trend_watcher safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Mcp Knowledge, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For trend_watcher, this is the rule to start with:
trend_watcher 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 Mcp Knowledge, apply this rule, and every trend_watcher call is checked against it from then on.
Questions about trend_watcher
Monitor emerging trends, regulatory shifts and adoption signals for a given market sector. Returns 5-12 trend cards, each with a momentum score (rising/stable/declining), a 3-month and 12-month outlook, opportunity windows, and recommended actions. When to use this tool: the user asks what is heating up in a market, wants to time a product roadmap or content calendar, or needs an early read on a sector. Inputs: a sector to monitor and 3-8 keywords defining the watch perimeter. Delivered by Manue, the AI CMO of the Gapup portfolio. It is categorised as a Read tool in the Mcp Knowledge MCP Server, which means it retrieves data without modifying state.
trend_watcher accepts 4 parameters: async, focus, sector, keywords. Required: sector, keywords. The full parameter table on this page comes from the server's own tool schema.
Register the Mcp Knowledge MCP server in PolicyLayer and add a rule for trend_watcher: 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 Mcp Knowledge. Nothing to install.
trend_watcher 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 trend_watcher 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 trend_watcher. 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.
trend_watcher is provided by the Mcp Knowledge MCP server (https://mcp.gapup.io). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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