Pull fired events from your subscription feed. Returns the most recent alerts the evaluator has written to your persisted feed — each carries source, citation_uri (pipeworx:// when available), and the raw event payload. Filter by type (e.g. "sec_8k") and/or since (ISO timestamp). Set mark_read:tr...
AI agents call recent_alerts to retrieve information from Mcp Currents without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
| Parameter | Type | Required | Description |
|---|---|---|---|
type | string | — | Optional — filter to one subscription type. |
limit | number | — | Max events to return (1-200, default 50). |
since | string | — | Optional ISO timestamp — return events fired_at >= this time. |
mark_read | boolean | — | Flag the returned events read in the same call (default false). |
unread_only | boolean | — | Return only events where read_at is null (default false). |
Parameters from the server's own tool schema.
The tool primarily retrieves alerts from a subscription feed (Read). The mark_read:true flag introduces a minor state mutation (marking events as read), but this is a trivial, reversible side effect that doesn't constitute a meaningful Write operation. The core function is fetching/querying data.
From the tool's definition Pull fired events from your subscription feed. Returns the most recent alerts... Filter by type and/or since (ISO timestamp).
Attacks that exploit this kind of access
Pull fired events from your subscription feed. Returns the most recent alerts the evaluator has written to your persisted feed — each carries source, citation_uri (pipeworx:// when available), and the raw event payload. Filter by type (e.g. "sec_8k") and/or since (ISO timestamp). Set mark_read:true to flag returned events read so the next call only shows newer ones. Polls work fine; the same feed is also at GET registry.pipeworx.io/alerts.json for scripts and dashboards. It is categorised as a Read tool in the Mcp Currents MCP Server, which means it retrieves data without modifying state.
recent_alerts accepts 5 parameters: type, limit, since, mark_read, unread_only. The full parameter table on this page comes from the server's own tool schema.
Register the Mcp Currents MCP server in PolicyLayer and add a rule for recent_alerts: 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 Currents. Nothing to install.
recent_alerts 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 recent_alerts 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 recent_alerts. 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.
recent_alerts is provided by the Mcp Currents MCP server (https://gateway.pipeworx.io/currents/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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